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data analyst, legal analytics Jobs in Mangaluru India

data analyst, legal analytics

data analyst

Chevron

<div>
 
 About The Position
 
 
 
 A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
 
 
 The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
 </li>
 <li>
 Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
 </li>
 <li>
 Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
 </li>
 <li>
 Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
 </li>
 <li>
 Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
 </li>
 <li>
 Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
 </li>
 <li>
 Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
 </li>
 <li>
 0-5 years experience
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
 </li>
 <li>
 Strong skills in data manipulation and transformation using SQL.
 </li>
 <li>
 Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI, Spotfire, Tableau. Data modeling techniques, data fluency and governance.
 </li>
 <li>
 Proficiency in Oil &amp; gas workflows and data types
 </li>
 <li>
 Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
 </li>
 <li>
 Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
 </li>
 <li>
 Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal &amp; external parties) across global teams and time zones.
 </li>
 <li>
 Strong knowledge of Microsoft Azure Services &amp; Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience with SQL and data querying languages.
 </li>
 <li>
 Experience with Python for data wrangling.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and accuracy
 </li>
 <li>
 Fundamental knowledge of Information Risk Management (IRM).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft Power BI Data Analyst certification (PL-300)
 </li>
 <li>
 Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
 </li>
 <li>
 Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
 </li>
 <li>
 Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
 </li>
 <li>
 Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
 </li>
 <li>
 Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00AM to 5:00PM or 1:30PM to 10:30PM.
</div>

Data Analyst

Soul AI

<div>
 
 
 About Us:
 
 
 
 Soul AI is a cutting-edge AI data and quality operations company founded by IIT Bombay and IIM Ahmedabad alumni. With team members from leading institutions like IITs, NITs, and BITS, we specialize in human-in-the-loop AI systems, curated datasets, and high-precision domain evaluations. Located in San Francisco and Hyderabad, we focus on building AI that positively transforms businesses and society.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Analyst to evaluate and refine data-oriented outputs generated by AI systems. You will analyze datasets, validate AI-generated insights, and enhance the model&rsquo;s ability to interpret patterns and derive meaningful conclusions. Your analytical expertise will directly influence the training of next-generation analytical AI tools.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze AI-generated data insights, reports, and dashboards.
 </li>
 <li>
 Validate statistical accuracy, data logic, and analytical reasoning.
 </li>
 <li>
 Identify inconsistencies, anomalies, or incorrect interpretation
 </li>
 <li>
 Provide structured feedback to strengthen AI understanding of analytics.
 </li>
 <li>
 
 Review prompts involving data cleaning, EDA, visualization, and metrics.
 
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong foundation in data analysis, Excel, SQL, and visualization tools.
 </li>
 <li>
 Experience with Python, Pandas, NumPy, or analytical workflows is a plus.
 </li>
 <li>
 Understanding of statistics, data validation, and business intelligence.
 </li>
 <li>
 Detail-oriented with strong problem-solving and reasoning skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on high-impact projects that contribute to building AI for Good.
 </li>
 <li>
 Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
 </li>
 <li>
 Opportunity to grow in a fast-paced, innovation-driven environment
 </li>
 </ul>
 
 
</div>

VEGROW

<div>
 
 
 About Vegrow:
 
 
 
 Vegrow is on a mission to revolutionize the $60B fresh fruit market! We&rsquo;re a fast-growing, VC-backed agri-tech startup founded by IIT alumni who&rsquo;ve built and scaled with companies like ITC, AgroStar, UrbanCompany, and Chronus. We partner with farmers, aggregate supply, and connect them directly to organized demand through tech-led solutions &mdash; driving efficiency, transparency, and profitability across the fruit value chain.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to join our
 
 Business Finance
 
 team &mdash; someone who loves diving deep into data, connecting dots, and converting numbers into business impact.
 
 
 This isn&rsquo;t a &ldquo;get a request &rarr; build a report&rdquo; role. We want someone who can
 
 think independently
 
 ,
 
 spot opportunities
 
 , and
 
 add value proactively
 
 by working shoulder-to-shoulder with the Business and BizFin teams.
 
 
 If you love solving open-ended problems and using data to tell stories that move the business forward &mdash; we want you!
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Work closely with Business &amp; BizFin teams to drive data-backed decisions.
 </li>
 <li>
 Build and maintain dashboards and reports that actually make an impact.
 </li>
 <li>
 Proactively explore data to uncover insights, trends, and hidden opportunities.
 </li>
 <li>
 Translate business questions into analytical models and crisp insights.
 </li>
 <li>
 Handle ad-hoc analyses with accuracy, speed, and attention to detail.
 </li>
 <li>
 Ensure data sanity, consistency, and integrity across all reporting layers.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 0&ndash;4 years of experience in data analytics or business analytics.
 </li>
 <li>
 Strong SQL skills (you should be able to write and optimize complex queries).
 </li>
 <li>
 Excellent Excel skills and experience with at least one BI tool (Tableau, Power BI, Looker Studio, etc.).
 </li>
 <li>
 Experience with Python or another scripting language for automation or data manipulation.
 </li>
 <li>
 Sharp analytical mindset, curiosity to explore, and the ability to simplify complex data stories.
 </li>
 <li>
 Great communication skills &mdash; you can make insights simple, visual, and actionable.
 </li>
 <li>
 Self-starter attitude &mdash; someone who figures things out, not just waits for instructions.
 </li>
 </ul>
 
 
 
 
 
 Cherry on Top
 
 
 <ul>
 <li>
 Experience with
 
 Zoho Analytics
 
 and/or
 
 Anaplan
 
 .
 </li>
 <li>
 Prior exposure to
 
 Business Finance / FP&amp;A
 
 setups.
 </li>
 <li>
 Comfort working in
 
 fast-paced, high-growth startup environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 Join us if you&rsquo;re excited to make data a competitive advantage at Vegrow &mdash; and grow your career while helping us grow India&rsquo;s fruit economy.
 
 
</div>

Philips

<div>
 Job Title
 
 
 Data Analyst
 
 
 
 Job Description
 
 
 
 
 JOB TITLE: Data Analyst
 
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Handles analysis of complex datasets using SQL, Databricks, statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
 </li>
 <li>
 Creates data visualizations , utilizing tools like PowerBI, Qlik, Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
 </li>
 <li>
 Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.
 </li>
 <li>
 Ability to deliver large programs, vendor management experience in addition to project management.
 </li>
 <li>
 Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
 </li>
 <li>
 Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
 </li>
 <li>
 Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives.
 </li>
 <li>
 Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
 </li>
 <li>
 Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations.
 </li>
 <li>
 Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement.
 </li>
 <li>
 Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.
 </li>
 <li>
 Able to seamlessly take up role of operations as desired.
 
 
 </li>
 </ul>
 
 Minimum Required Education
 
 
 
 Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
 
 
 
 Minimum Required Experience
 
 
 
 Minimum 8 years of experience with Bachelor's in areas such as Computer Science , Data Analytics, Data Modeling or equivalent OR no prior experience required with Master's Degree.
 
 
 
 Minimum Required Certification
 
 
 
 Having Data Science and Gen AI certifications is desirable .
 
 
 
 Preferred Experience
 
 
 
 minimum 8 years in Data engineering, 2 years in data science and gen AI technologies
 
 
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Interpretation
 </li>
 <li>
 Data Harmonization &amp; Processing
 </li>
 <li>
 Data Modeling
 </li>
 <li>
 Data Quality Assurance
 </li>
 <li>
 Statistical Methods
 </li>
 <li>
 Statistical Programming Software
 </li>
 <li>
 Business Intelligence Tools
 </li>
 <li>
 Data Mining
 </li>
 <li>
 Machine Learning Engineering Fundamentals
 </li>
 <li>
 Research &amp; Analysis
 </li>
 <li>
 Structured Query Language (SQL)
 </li>
 <li>
 Regulatory Compliance
 </li>
 <li>
 Gen AI
 
 
 </li>
 </ul>
 
 How We Work Together
 
 
 
 We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
 
 
 Onsite roles require full-time presence in the company&rsquo;s facilities.
 
 
 Field roles are most effectively done outside of the company&rsquo;s main facilities, generally at the customers&rsquo; or suppliers&rsquo; locations.
 
 
 Indicate if this role is an office/field/onsite role.
 
 
 
 About Philips
 
 
 
 We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
 
 
 <ul>
 <li>
 Learn more about our business.
 </li>
 <li>
 Discover our rich and exciting history.
 </li>
 <li>
 Learn more about our purpose.
 
 
 </li>
 </ul>
 If you&rsquo;re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
</div>

<div>
 
 About Us
 
 
 
 Jar is India&rsquo;s leading Daily Saving app that helps people build strong saving habits&mdash;one small step at a time. Our goal is to make saving simple, rewarding, and truly life-changing. Founded in 2021 by Misbah Ashraf and Nishchay AG, Jar is a Bengaluru-based startup with one simple belief: saving a little every day in 24K Digital Gold can truly transform your future.
 
 
 Today, 20 million+ Indians trust Jar as their saving partner. With flexible saving options&mdash;Daily, Weekly, Monthly, and Instant Saving&mdash;we have made it easy for everyone to save in their own way and withdraw anytime. We are one of the leaders in UPI autopay transactions, crossing more than 1 million transactions per day. In 2023, we expanded our vision with Nek, our jewelry brand crafted to bring together luxury and affordability, it has since surpassed ₹100 crore in revenue.
 
 
 We have a big dream of bringing &ldquo;Har Ghar Sona&rdquo;. Small, consistent savings are just the start. We&rsquo;re here to walk alongside our users, helping Indians secure their financial future every step of the way.
 
 
 Backed by Tiger Global Management, Arkam Ventures, and WEH Ventures, among others, we have raised $50 million+ in funding. In January 2025, we hit a huge milestone of becoming profitable. Now, we&rsquo;re charging ahead, focused on sustainable growth and scaling impact.
 
 
 And this is just the beginning!
 
 
 
 What&rsquo;s the role?
 
 
 
 As a Data Analyst - 1, you will be responsible for analyzing data to generate insights, building dashboards, and supporting decision-making across acquisition, retention and product performance. You will work closely with senior analysts, product managers, and business stakeholders to ensure accurate tracking, reporting, and data-driven recommendations.
 
 
 
 What will be your responsibilities?
 
 
 
 <ul>
 <li>
 Perform data analysis and reporting on customer acquisition, retention, churn, and transactions
 </li>
 <li>
 Build, maintain, and automate dashboards and reports for business stakeholders
 </li>
 <li>
 Conduct deep dives into structured and unstructured data to identify trends, anomalies, and actionable insights
 </li>
 <li>
 Support Root Cause Analysis (RCA) for business metric changes and provide recommendations
 </li>
 <li>
 Partner with product and business teams to define, track, and measure key performance indicators (KPIs)
 </li>
 <li>
 Assist in A/B experiments, feature evaluations, and campaign analysis
 </li>
 <li>
 Ensure data accuracy, consistency, and completeness across reporting pipelines
 </li>
 <li>
 Collaborate with engineers and analysts to improve data quality and infrastructure
 
 
 </li>
 </ul>
 
 What&rsquo;s required from you?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or related field
 </li>
 <li>
 1&ndash;3 years of experience in a data analytics role, preferably in fintech, e-commerce, or consumer tech
 </li>
 <li>
 Strong proficiency in Python &amp; MongoDb for data analysis, including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, Dask, Statsmodels, Re(regular expressions for text cleaning), textblob (sentiment analysis &amp; text processing) &amp; Automations. Object oriented programming is a plus
 </li>
 <li>
 SQL: Expertise in writing complex sql (postgres) queries for data extraction, transformation, and reporting
 </li>
 <li>
 Process, clean, and wrangle large datasets using Python to ensure data quality and readiness for analysis
 </li>
 <li>
 Strong understanding of Excel/Google Sheets for quick ad-hoc analysis
 </li>
 <li>
 Experience working with large, structured/unstructured datasets
 </li>
 <li>
 Visualization Tools: Data Exploration and Visualisation with tools like Amplitude, Clevertap, MS Excel, Tableau, Power BI, etc
 </li>
 <li>
 Familiarity with A/B testing frameworks and statistical concepts
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and attention to detail
 </li>
 <li>
 Good communication skills to explain insights to non-technical stakeholders
 
 
 </li>
 </ul>
 
 What makes us different?
 
 
 
 We&rsquo;re not just building a product&mdash;we&rsquo;re shaping the future of savings in India. We seek people who bring passion, energy, and fresh ideas to help us make that happen. Experience matters, but we are a potential first organisation. We move fast, learn from our mistakes, and take bold risks to solve problems that haven&rsquo;t been attempted before. If you&rsquo;re excited about working in an environment where people inspire and truly support each other, you&rsquo;ve found the right fit.
 
 
 
 What do we stand for?
 
 
 
 The five values that we live by :
 
 
 
 Passion:
 
 At Jar, we strive to create an environment where people love what they do, are motivated and equipped to do their best work.
 
 
 
 Equality:
 
 We bring diverse skills, ideas, and experiences to the table, supporting and challenging each other across teams to create something bigger than ourselves.
 
 
 
 Growth:
 
 When our people grow, Jar grows. We create opportunities for learning, development, and meaningful impact.
 
 
 
 Accountability:
 
 The core of our work ethic is taking ownership of our work, showing initiative, and having the freedom to ask questions.
 
 
 
 Consistency:
 
 We believe in doing the right things consistently. Big change doesn&rsquo;t happen overnight, it&rsquo;s built one step at a time.
 
 
 Join us and let&rsquo;s build something amazing together!
 
 
 What employee benefits do we have?
 
 
 Glad you asked! Among other things, we have
 
 
 <ul>
 <li>
 Medical Insurance for employees and their families
 </li>
 <li>
 ESOPs allocation
 </li>
 <li>
 Pluxee meal card
 </li>
 <li>
 Swish club card for exclusive employee discounts
 </li>
 <li>
 Advance salary plans
 </li>
 <li>
 Relocation assistance
 </li>
 <li>
 L&amp;D programmes
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
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</div>

Data Analyst - 1

Headout

<div>
 
 
 🚀 Why Headout?
 
 
 
 We&rsquo;re a rocketship: 9-figure revenue, record growth, and profitable
 
 
 With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry, and we&rsquo;re just getting started. We've raised $60M+ from top-tier investors and are building a durable company for the long term &mdash; because that's what our mission needs and deserves. We&rsquo;re growing, profitable and nowhere near done.
 
 
 
 
 
 
 What we do is important
 
 
 
 In an increasingly digital world, there is a desperate need to augment our human experience by getting us to interact with the real world around us and the people in it. At Headout, our mission is to be the easiest, fastest, and most delightful way to head out to a real-life experience &mdash; from immersive tours to museums to live events and everything in between.
 
 
 
 
 
 
 Why now?
 
 
 
 The foundation is strong. The opportunity ahead is even bigger. We&rsquo;ve hit profitability, built momentum, and proven the model &mdash; but there&rsquo;s so much more to build. If you&rsquo;re looking to join a company where the trajectory is steep and your impact is real, this is the moment.
 
 
 
 
 
 
 Our culture
 
 
 
 Reinventing the travel industry isn't easy, but that's the fun part.
 
 
 We care deeply about ownership, craft, and impact, and we&rsquo;re here to do the best work of our careers. We won&rsquo;t pretend like it&rsquo;s for everyone but if you&rsquo;re a builder who loves solving tough problems, you&rsquo;ll feel right at home. Read more about our unique values here: https://bit.ly/HeadoutPlaybook
 
 
 
 
 
 
 👩 💻 The role
 
 
 
 We're looking for a sharp, hungry analyst to join the data team at Headout. This is a foundational role, you'll work closely with senior analysts and leadership to build the reports, dashboards, and automations that power decisions across the company.
 
 
 
 
 
 Depending on where the need is greatest and where your strengths lie, you could find yourself working on growth and marketing analytics, product analytics, operations and supply-side problems, or a mix of all three. The common thread: you'll be embedded in the business, working on problems that matter.
 
 
 
 
 
 This isn't about crunching numbers in a corner. You'll understand how our marketplace works, why metrics move, and what levers actually drive outcomes. You'll ship real work within your first week, and own meaningful workstreams within your first few months.
 
 
 
 
 
 If you're someone who gets restless when you're not learning, who'd rather figure things out than wait for instructions, and who cares about craft, this is for you.
 
 
 
 
 
 
 🤩 What makes this role special?
 
 
 <ul>
 <li>
 
 Real problems, not busywork
 
 : Headout is a global marketplace operating across dozens of cities, thousands of experiences, multiple currencies, real-time inventory, and dynamic pricing. Whether you're analyzing conversion funnels, attribution models, supplier economics, or product experiments, the problems here are genuinely hard.
 </li>
 <li>
 
 Breadth of exposure
 
 : You won't be siloed into one corner of the business. You'll see how growth, product, operations, and finance interconnect and build the analytical muscle to work across all of them.
 </li>
 <li>
 
 Learn fast by doing
 
 : You'll pair with senior analysts on complex projects, get direct feedback from leadership, and see your work influence actual decisions. The feedback loops are tight, and the growth curve is steep.
 </li>
 <li>
 
 A team that gives a damn
 
 : We care about speed and pragmatism over perfection, but we don't ship sloppy work. Feedback is direct and frequent. We document what we learn. We help each other get better.
 </li>
 <li>
 
 A product you can care about
 
 : Headout helps people experience the best of every city they visit. There's something satisfying about working on a product where the output is someone having a great day somewhere new.
 </li>
 </ul>
 
 
 
 
 
 💝 What skills &amp; experience do you need?
 
 
 <ul>
 <li>
 1 - 3 years in an analytics, BI, or data science role
 </li>
 <li>
 Strong SQL skills, you can write complex joins, window functions, CTEs without hand-holding. You know how to debug a slow query.
 </li>
 <li>
 Working knowledge of Python for data manipulation, automation, or simple analysis
 </li>
 <li>
 Hands-on experience with at least one BI tool (Metabase, Looker, Tableau, Power BI)
 </li>
 <li>
 Nice to have: exposure to dbt, Airflow, or similar; basic understanding of data warehousing concepts
 </li>
 <li>
 Bonus: exposure to marketplace/e-commerce, consumer tech
 </li>
 </ul>
 
 
 
 
 
 EEO statement
 
 
 
 At Headout, we don&rsquo;t just accept differences &mdash; we celebrate it, we support it, and we thrive on it for the benefit of our employees, our partners, and the community at large. Headout provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. During the interview process, if you need assistance or an accommodation due to a disability, you may contact the recruiter assigned to your application or email us at life@headout.com.
 
 
 
 
 
 
 Privacy policy
 
 
 
 Please note that once you apply for this job profile your personal data will be retained for a period of one (1) year. Headout shall process this data for recruitment purposes only. Once the relevant job profile is filled or once the time period of one (1) year from the date of the job application has passed, whichever is later, Headout shall either delete your data or inform you that it shall keep it in its database for future roles. In compliance with the relevant privacy laws, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.
 
</div>

AstraZeneca

<div>
 
 Title: Associate - Data Analyst
 
 
 
 <ul>
 <li>
 Work Location: Manyata Tech Park, Bangalore, India
 </li>
 <li>
 Work Schedule: Three days on-site, two days remote (3/2)
 </li>
 <li>
 Work Hours: 9 am to 6 pm IST or 2 pm to 11 pm IST basis business needs (Transport available as per company policy)
 </li>
 <li>
 Career Level: C2 - Individual Contributor
 
 
 </li>
 </ul>
 
 Role Summary
 
 
 
 As an Associate Data Analyst, you will be at the forefront of driving operational excellence and technical proficiency in data management for the US BBU. You will facilitate effective communication and streamline issue resolution. This involves translating complex business needs into actionable data solutions that enhance decision-making and operational efficiency.
 
 
 Your expertise in data management will be key in guiding the development and deployment of innovative data products. You'll leverage your analytical skills to provide insightful analyses that influence business strategy. By fostering a collaborative environment, you'll work closely with cross-functional teams to implement user-centric design approaches and agile methodologies, ensuring data products meet the evolving needs of the business. Your proactive approach will help the organization stay at the cutting edge of industry trends and best practices.
 
 
 Your ability to interpret complex data and deliver clear, actionable insights will establish you as a valuable partner in driving business transformation. By embedding a strategic mindset and fostering stakeholder engagement, you'll ensure the data products not only meet but exceed user expectations.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Provide operational and technical support for US BBU data management activities &ndash; data quality management, business process workflows and data management needs for downstream applications and tools.
 </li>
 <li>
 Provide appropriate operational troubleshoot and triaging related to data processing, business user queries, data investigation and ad-hoc analytics
 </li>
 <li>
 Perform data validation, reconciliation, and basic ad-hoc analyses to support business teams.
 </li>
 <li>
 Act as a liaison between Commercial/Medical stakeholders and IT for escalations and issue resolution.
 </li>
 <li>
 Assist in managing access, user roles, and updates across platforms like Sharp.
 
 
 </li>
 </ul>
 
 Essential For The Role
 
 
 
 <ul>
 <li>
 Quantitative bachelor&rsquo;s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science.
 </li>
 <li>
 Proficient in PBI, PowerApps [development &amp; troubleshooting], SQL, Python, Databricks, and AWS S3 operations.
 </li>
 <li>
 Strong understanding of data governance, privacy standards, and operational best practices.
 </li>
 <li>
 Excellent communication and influencing skills with demonstrated ability to develop and effectively
 </li>
 <li>
 Experience working in a business support or operational data management environment.
 </li>
 <li>
 Define and document detailed user stories, acceptance criteria, and non-functional requirements for the data products.
 </li>
 <li>
 Advocate for a user-centric design approach, ensuring that the data products are intuitive, accessible, and meet the needs of the target users.
 </li>
 <li>
 Collaborate with the development team to plan and execute agile sprints, ensuring timely delivery of high-quality features.
 </li>
 <li>
 Present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
 </li>
 <li>
 Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
 </li>
 <li>
 Exposure &amp; Understanding (any 7): ELAAD, APLD, HCP Segmentation, Targeting (Call plan), Alignment, SFO Structuring &amp; Sizing, HCP Campaign - Digital Promotion &amp; Measurement, Xponant data (sales data - Rx data), HCP Specialty Management Data, (DDD MD), Call Activity, Fingertip/Formulary (Plan PBM lives data)
 
 
 </li>
 </ul>
 
 Desirable To Have (any 3)
 
 
 
 <ul>
 <li>
 Knowledge of AZ brand and Science
 </li>
 <li>
 Experience of working with multiple 3rd party providers, including information technology partners
 </li>
 <li>
 Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
 </li>
 <li>
 Understanding of US BBU commercial and medical business functions
 </li>
 <li>
 Experience with Sharp [Internal AZ platform] administration, Power Apps development or troubleshooting.
 
 
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 When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 
 
 AstraZeneca offers an environment where diverse cultures and perspectives come together to create a sense of belonging. Here you'll find opportunities to learn and grow alongside a team committed to transforming processes through simplification and automation. Our innovative approach ensures that data is at the heart of everything we do. As part of our journey of growth and evolution, you'll contribute to making AstraZeneca more agile and efficient while impacting society positively.
 
 
 Ready to take the next step? Apply now to join our dynamic team!
 
 
 
 Date Posted
 
 
 
 03-Dec-2025
 
 
 
 Closing Date
 
 
 
 09-Dec-2025
 
 
 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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Associate - Data Analyst

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Associate - Data Analyst