Job description RolePricing General :Knowledge of mathematics, probability, statistics and Commercial Insurance business.Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches)Mandatory :Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies.Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools.Should have built pricing tools/raters on Excel.Should have knowledge on Frequency, Severity modelling and Loss cost modelling.Additional good to have requirements:Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macrosKnowledge of ST-8 General Insurance Pricing Actuarial science would be preferableWork experience on GLM modelling - Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage.Screening parameters:Work experience in General Insurance PricingKnowledge on Pricing - Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves)Cleared or appeared for Actuarial Science exam- ST-8General Insurance PricingModelling (Frequency & Severity modelling) using- Emblem/R/SAS/Python Role: Analytics / BI Manager Industry Type: Industrial Equipment / Machinery Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqlpythonsasvbapricing kubernetescontinuous integrationdata miningactuarialci/cdeksdockeransiblejavadevopslinuxjenkinsstglmmicrosoft azureimpact analysiscontinuous deliveryrradarterraformgeneral insuranceawsstatistics

Job description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Position Overview: As Lead Data Scientist you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Also, we expect you to guide the ML talent in the team on both algorithms and engineering. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. About You: Preferred MS or PhD in a quantitative field Experience with developing highly distributed ML systems 8+ years of relevant experience in data science, analytics, or applied machine learning, with a strong track record of solving complex business problems through data-driven approaches. Demonstrated ability to translate business problems into analytical solutions, leveraging statistical, machine learning, or optimization techniques to drive business impact. Proven experience in designing, building, and deploying machine learning models and pipelines in production environments at scale. Collaborate cross-functionally with data engineers, product managers, and software engineers to define problem statements, design experiments, and build data solutions that deliver measurable value. Strong programming skills in Python or Java, with hands-on experience using big data technologies such as Hadoop or Spark. Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras is a plus. Ability to communicate complex technical concepts and results clearly to both technical and non-technical stakeholders, using visualizations, dashboards, and storytelling techniques. Proactive and results-oriented, capable of driving projects independently and delivering under tight deadlines. A collaborative team player with experience working across global teams and contributing to a shared vision. Demonstrated experience in mentoring junior data scientists or analysts, fostering a culture of learning and innovation. Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythontensorflowjavadata sciencemachine learning algorithms algorithmsnatural language processingbig data technologiesmachine learningdashboardsartificial intelligencesqldeep learningsparkpytorchkerashadoopdata visualizationml

Job description Senior Site Reliability Engineer Bengaluru Get to know Okta Okta is The World s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We re building a world where Identity belongs to you. Okta s Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Senior Site Reliability Engineer to join a team focused on designing and developing Security solutions to harden our cloud infrastructure. We embrace innovation and pave the way to transform bright ideas into excellent security solutions that help run large-scale, critical infrastructure. We encourage you to prescribe defense-in-depth measures, industry security standards and enforce the principle of least privilege to help take our Security posture to the next level. Our Infrastructure Security team has a niche skill-set that balances Security domain expertise with the ability to design, implement, rollout infrastructure across multiple cloud environments without adding friction to product functionality or performance. We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product. This is a high-impact role in a security-centric, fast-paced organization that is poised for massive growth and success. You will act as a liaison between the Security org and the Engineering org to build technical leverage and influence the security roadmap. You will focus on engineering security aspects of the systems used across our services. Join us and be part of a company that is about to change the cloud computing landscape forever. Bring all the passion and dedication along and there s no telling what you could accomplish! You will work on: Building, running, and monitoring Okta's production infrastructure Be an evangelist for security best practices and also lead initiatives/projects to strengthen our security posture for critical infrastructure Responding to production incidents and determining how we can prevent them in the future Triaging and troubleshooting complex production issues to ensure reliability and performance Identifying and automating manual processes Continuously evolving our monitoring tools and platform Promoting and applying best practices for building scalable and reliable services across engineering Developing and maintaining technical documentation, runbooks, and procedures Supporting a 24x7 online environment as part of an on-call rotation You are an ideal candidate if you: Are always willing to go the extra milesee a problem, fix the problem. Have experience automating, securing, and running large-scale production IAM and containerized services in AWS (EC2, ECS, KMS, Kinesis, RDS), GCP (GKE, GCE) or other cloud providers. Have knowledge of CI/CD principles, Linux fundamentals, OS hardening, networking concepts, and IP protocols. Have an understanding and familiarity with configuration management tools like Chef and Terraform. Have experience in operational tooling languages such as Ruby, Python, Go and shell, and use of source control. Experience with industry-standard security tools like Nessus, Qualys, OSQuery, Splunk, etc. Experience with Public Key Infrastructure (PKI) and secrets management Bonus points for: Experience conducting threat assessments, and assessing vulnerabilities in a high-availability setting. Understand MySQL, including replication and clustering strategies, and are familiar with data stores such as DynamoDB, Redis, and Elasticsearch. Minimum Require

Job description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. The Generative AI space at Target is evolving at an incredible pace. We are constantly reimagining how we may leverage AI for solving the challenging problems in retail. A role with the Generative AI Data Science team means building scalable data science products by leveraging Generative AI in an efficient manner. This will mean being more intelligent, automated and algorithmic in our decision-making. So, we re looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root cause, simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on this dynamic team. About the role Our Generative AI team oversees the development of a platform which will allow various product & engineering teams to leverage GenAI based solutions in an effective manner. We also support various teams within Target so that they will be able to build products as per Target standards regarding use of responsible AI. As a Senior Data Scientist at Target, you will get an opportunity to design, develop, deploy and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with AI/ML engineers and data scientists on peer teams to build and productionize groundbreaking GenAI based solutions for various teams. In this role as a Senior Data Scientist, you will Analyze large datasets for insights leading to business process improvements or solution development. Contribute to the research, design, and implementation of leading-edge generative AI technologies to address and solve complex problems that contribute to finding solutions for the retail world. Work with Multimodal LLMs, enhance model performance, fine-tune LLMs Work with the team to build and maintain complex software systems and tools. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Bachelor s/MS/PhD in Mathematics, Statistics, Computer Science, or other related fields 3-4+ years of relevant experience Strong analytical thinking. Ability to creatively solve business problems, innovating innovative approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Experience in developing, testing, and maintaining large codebases in a collaborative environment, while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive. Exposure to programmatic use of GenAI/LLMs and related ecosystem. Experience in developing Deep Learning based solutions using PyTorch or TensorFlow Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with abili

Job description Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning & Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target. About the Role As a Senior Operations Research Scientist in SCNO, you will study complex supply chain problems, develop a deep understanding of the business, and build cutting-edge solutions. The role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations (such as Monte Carlo and discrete event simulation), and operations research. In addition to technical expertise, success in this role requires a strong appetite for developing business acumen, effective collaboration with cross-functional teams, and excellent communication and presentation skills. Key responsibilities include: Developing a deep understanding of business problems through data analysis, root cause investigation, and close collaboration with team members. Efficiently gathering, analyzing, and processing large data sets by writing optimized code and building scalable data solutions. Learning and leveraging existing data science tools and models across different business domains to solve real-world challenges. Designing and implementing new applied mathematical models to address complex business problems. Interpreting model results to generate actionable insights for leadership. Communicating clearly and proactively with business leaders, peers, and stakeholders. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You 6+ years of professional experience with a Bachelor's or Master's degree (3+ years for a PhD) in Mathematics, Statistics, Computer Science, or a related field. 4+ years of experience with programming in Python, PySpark, R, SQL, and open-source data science tools. 4+ years of experience applying advanced data science, AI, and operations research techniques. Strong problem-solving skills with the ability to address business challenges creatively. Skilled in cleaning, transforming, and analyzing large datasets to generate insights. Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal. Retail and supply chain experience is a plus. Team-oriented with the ability to collaborate effectively across locations and time zones. Strong written and verbal communication skills. Why Work with Us at Target Work on advanced analytics and data science projects that directly impact Target s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing strategies. We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects. We value diversity and inclusion, fostering an environment that contributes to positive customer experiences. We offer fle

Job description Lead Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a part of the Merchandising Analytics and Insights team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all Merchandising strategic initiatives with data, reporting and analysis. Merchandising teams rely on this team of analysts to bring data to support decision making. PRINCIPAL DUTIES AND RESPONSIBILITIES As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will lead an agile team which requires active participation in ceremonies and team meetings. In this role, you ll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiatives requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leveraging in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability are still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs. Key Responsibilities*: Work with MC, Merch, Planning, Marketing, Digital, etc. teams to use data to identify opportunities, bridge gaps, and build advanced capabilities Partner with Product, DS, DE, etc. to determine the best approach to gather, model, manipulate, analyze and present data Develop data and metrics to support key business strategies, initiatives, and decisions Explore data, technologies, and the application of mathematical techniques to derive business insights Desired Skills & Experiences*: Ability to breakdown complex problems, identify root cause of the issue, and develop sustainable solutions Ability to influence cross-functional teams and partners at multiple levels of the organization Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education About you (In terms of technical) B.E/B.Tech, M.Tech, M.Sc. , MCA - Overall 8-12 years of experience. And 6-8 years data ecosystem experience. Strong Architect of data capabilities and analytical tools. Proven experience to architect enterprise level Datawarehouse solutions and BI Implementations across Domo, Tableau & other Visualization tools. Provide expertise and ability to train and guide team to implement top design architectures to build next gen

Job description About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Team Overview: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target s investments in technology and innovation. We re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests and we do so with a focus on diversity and inclusion, experimentation and continuous learning. At Target, we are gearing up for exponential growth and continuously expanding our guest experience. To support this expansion, Data Engineering is building robust warehouses and enhancing existing datasets to meet business needs across the enterprise. We are looking for talented individuals who are passionate about innovative technology, data warehousing and are eager to contribute to data engineering. . Position Overview Assess client needs and convert business requirements into business intelligence (BI) solutions roadmap relating to complex issues involving long-term or multi-work streams. Analyze technical issues and questions identifying data needs and delivery mechanisms Implement data structures using best practices in data modeling, ETL/ELT processes, Spark, Scala, SQL, database, and OLAP technologies Manage overall development cycle, driving best practices and ensuring development of high quality code for common assets and framework components Develop test-driven solutions and provide technical guidance and heavily contribute to a team of high caliber Data Engineers by developing test-driven solutions and BI Applications that can be deployed quickly and in an automated fashion. Manage and execute against agile plans and set deadlines based on client, business, and technical requirements Drive resolution of technology roadblocks including code, infrastructure, build, deployment, and operations Ensure all code adheres to development & security standards About you 4 year degree or equivalent experience 5+ years of software development experience preferably in data engineering/Hadoop development (Hive, Spark etc.) Hands on Experience in Object Oriented or functional programming such as Scala / Java / Python Knowledge or experience with a variety of database technologies (Postgres, Cassandra, SQL Server) Knowledge with design of data integration using API and streaming technologies (Kafka) as well as ETL and other data Integration patterns Experience with cloud platforms like Google Cloud, AWS, or Azure. Hands on Experience on BigQuery will be an added advantage Good understanding of distributed storage(HDFS, Google Cloud Storage, Amazon S3) and processing(Spark, Google Dataproc, Amazon EMR or Datab

Job description About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . As a Principal Engineer you set the strategy for software development and/or infrastructure engineering at Target. You set the direction for how software and infrastructure engineering efforts will be designed, developed, and operationalized across multiple portfolios and drives adoption across TTS. You lead and approve software and infrastructure engineering efforts to meet functional and non-functional requirements. You are a thought leader and mentor for internal and external technical talent and actively contribute to the external technical community. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Principal Engineer, you ll take the lead as you Understand Target's business and technical environments and assist teams in resolving complex business challenges via current technical solutions by assessing viability/applicability/cost implication through POCs and prototypes. Collaborate with technical staff and Enterprise Architecture teams in setting technical direction across platform and drive technology lifecycle management and communication of standards/decisions to the engineering team. Participate in procurement specifications, installation, and maintenance of Target systems. Lead designing and building the Target platform API with deep focus on non-functional requirement including scalability, availability, performance, etc. while being a strong advocate of extreme agile and DevOps practices across engineers. Work with engineering leaders to build a high performing engineering team and provide technical leadership, coaching, motivation and participate in the selection of technical talent. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4 year degree or equivalent experience. Continuing education to maintain thorough knowledge of technical domains along with staying current in latest technologies 12+ years of experience in technology development or services 4+ years of experience in strategic planning and setting technical direction Possesses a strong understanding of systems programming and control languages as required by your domain. Has demonstrated success in solving complex technical problems in more than one technical or functional areas Understands business fundamentals and how technologies can support business goals along with how to translate business vision into a technical strategy while understanding the financial implications Has proven leadership capabilities, the ability to influence others, interpersonal skills, and problem solving skills Strong team player who understands concepts of teamwork and team effectiveness. Has excellent verbal, written, and presentation communication skills to convey complex technical solutions clearly to an organization Has excellent planning and organizational skills. Experience in Java/ J2EE, sql/ no-sql (postgre, mongoDB, Cassandra, graph structure, etc.), Python, Ruby, Chef, Drone, Kubernetes containers, Cloud tech, etc. Role: Head - Engineering Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills system programmingpresentation skillsstrategic planningjavatechnology development containerkubernetespythonbusiness developmenttrainingsalescatiasqlrubypostgresqlcassandrateam leadingdevopsj2eemongodbpresentation communication

Job description About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey. As a Engineer, you ll take the lead as you You will build applications for Target s MLPlatform to enable capabilities to help data scientists, ML engineers and Data engineers at Target . You will be part of a team building highly scalable, event driven applications and leverage technologies. You understand Target's business and technical environments, resolve complex challenges via technical solutions as well as be a significant code contributor, manage software development cycle, drive best practices and ensure development of high-quality code with compliance & security standards. The Engineer is a practitioner of rapid prototyping and Agile, DevOps, CI/CD, test-driven development and stays current with new technology to be able to assess viability and applicability to Target's business and technical environments. Tech stack Java, SpringBoot, Microservices, Python, Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills About you: 4 year degree or equivalent experience 1.5+ years of software development experience Experience in building applications using JVM languages like Java, Kotlin Exposure in building high-performance scalable APIs. Good to have experience in building Python applications, Fast API etc Good to have Machine Learning Engineer skills Having GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills would be added advantage Experience in microservices, Spring Boot, cloud development, NoSQL databases, and event driven architecture Experience with NoSQL technologies Cassandra, Elastic search, MongoDB is a plus Deep experience writing unit and functional tests and test-driven development Experience building CI/CD pipelines Strong problem solving and debugging skills Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills software developmentsoftware testingfunctional testingjavadebugging jvmcontinuous integrationpythonkotlinci/cdmachine learningmicroservicesdockernosqlspring bootelastic searchpostgresqlcassandragcpdevopskafkaagileapimongodb

Job description Senior Analyst, Field Analytics (Bengaluru) India, Bengaluru Get to know Okta Okta is The World s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We re building a world where Identity belongs to you. As part of Okta s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the field organization. We oversee the analytics and strategic analysis that enable our leaders to make data-driven decisions. The Senior Analyst, Field Analytics role will be close to the company s most critical performance data and develop a keen understanding of how Okta acquires revenue. In this role, you ll transform complex datasets into structured analyses and turn insights into action by building tools and processes that help determine the trajectory of Okta s rocket ship. You ll partner with a diverse group of functional teams such as Field Operations, Customer First Operations, FP&A, and Data & Insights to ensure alignment with our go-to-market plan, data infrastructure, and strategic initiatives. Job Duties & Responsibilities: Help deliver analytic assets (reports, dashboards) as well as one-off analyses, and insights to business partners across the organization Monitor key business metrics, initiate and perform deep dives where required and alert business to challenges and opportunities Work cross-functionally to build a narrative around key business metrics and trends for senior leadership in support of our go-to-market strategy and initiatives Partner with the data team, sales operations, customer success and other teams to enable business units to make data driven decisions Become an expert on how our data is captured as well as how it ties to underlying business processes. Identify operational gaps or inefficiencies, and work with Data and Business Systems teams to capture requirements for solutions. Required Skills & Qualifications 4+ years working in an operational and analytical capacity, preferably in a SaaS company Experience with Tableau or other analysis/BI tools Strong SQL skills and experience using SQL to write queries and perform analysis Excellent quantitative and MS Excel skills (i.e. sumifs, index/match and vlookup, table formulas) Endless curiosity and a need to dive deeper for understanding. Excellent written and verbal communication skills. Self-motivation, with the desire and capacity to work both independently and collaboratively. Preferred Qualifications Proficiency with scripting (python) & data modelling (dbt) Experience in enterprise software, field operations and sales processes Understanding of or experience building statistical modelling and predictive analytics #LI-CS7 What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/ . Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to r