data scientist

data analyst

business analyst

senior data scientist

operations analyst

senior data analyst

Aditi Consulting

<div>
 
 Hi,
 
 
 We are hiring for Data Analyst
 
 
 Responsibilities:
 
 
 1. Reporting &amp; Dashboarding.
 
 
 Manage recurring and ad hoc reporting using Excel and other tools.
 
 
 Conduct deep-dive analyses to uncover insights, trends, and optimization opportunities.
 
 
 Design, build and manage interactive dashboards (Tableau/ Power BI) to enhance visibility and decision-making for internal stakeholders.
 
 
 
 
 2. Operational Support
 
 
 Provide operational support to the team in terms of account mapping, territory allocation, audits, data checks &amp; maintenance and other internal planning process.
 
 
 
 
 3. CRM Data Management
 
 
 Collaborate with cross-functional teams to identify and clean CRM data.
 
 
 Enhance data accuracy through third-party mapping and validation exercises (e.g., employee size mapping).
 
 
 
 
 4. Strategic &amp; Whitespace Analysis
 
 
 Perform whitespace and funnel conversion analysis to identify market opportunities.
 
 
 Support segment-level, territory-level, and industry-level insights to guide expansion efforts.
 
 
 Address ad hoc analytical requests that inform acquisition and growth strategies.
 
 
 
 
 Basic Skills:
 
 
 
 
 4+ years of experience in Data analytics and experience working with large sets of data &amp; tools including Excel &amp; SQL .
 
 
 
 
 Preferred Skills:
 
 
 
 
 Experience in working with Tableau/Power BI, SQL and/or Presto, Anaplan.
 
 
 Familiarity with CRM platforms and data quality principles.
 
 
 Advanced knowledge of Excel &amp; SQL- Experience with financial modeling and data analysis.
 
 
 Process Improvement experience &amp; mindset.
 
 
 Analytical mindset with attention to detail and a bias for action.
 
 
 Strong communication and collaboration skills.
 
 
 
 
 Suggested Skills:
 
 
 
 
 Excel, PowerPoint, SQL
 
 
 Strong Communication &amp; Stakeholder Management
 
 
 Process Improvement
 
 
 Problem Solver
 
 
 
</div>

Senior Data Analyst

Zynga

<div>
 
 Level Up Your Career with Zynga!
 
 
 
 At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times&mdash;connecting players in 175+ countries through fun, strategy, and a little friendly competition.
 
 
 From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille&trade;, Words With Friends&trade;, Zynga Poker&trade;, Game of Thrones Slots Casino&trade;, Wizard of Oz Slots&trade;, Hit it Rich! Slots&trade;, Wonka Slots&trade;, Top Eleven&trade;, Toon Blast&trade;, Empires &amp; Puzzles&trade;, Merge Dragons!&trade;, CSR Racing&trade;, Harry Potter: Puzzles &amp; Spells&trade;, Match Factory&trade;, and Color Block Jam&trade;&mdash;plus many more!
 
 
 Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation&mdash;and where you can take your career to the next level.
 
 
 Join us and be part of the play!
 
 
 
 Position Overview
 
 
 
 Zynga&rsquo;s data science and analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We strive for a better understanding of our players which translates into challenges and features that delight them and increased social engagement within our games.
 
 
 Here&rsquo;s where you would come in: identify and formalize problems to understand user behavior. Create systems and analyses to derive insights that change the studio&rsquo;s world view. Be innovative, be creative, use every bit of that key commodity &ndash; data. Millions of people play Zynga games every day, so our data is tremendously rich and we have a lot of it!
 
 
 We will rely on you to communicate your findings to your peers &ndash; both technical and non-technical. Your solutions to difficult problems will need to be demonstrably impactful, visual and maintainable. You will work with our game teams to put your models into production. You will collaborate with Product Managers, Game Designers, and Engineers to deliver business impact, changing current practices in line with new findings and insights.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Work with large amounts of data to find opportunities to improve the experience that Zynga provides to its players
 </li>
 <li>
 Deliver analytics and data science projects that are aligned with the roadmap, and product goals - balancing actionable insights to substantially improve core game metrics
 </li>
 <li>
 Drive and empower game studio to make quantitatively informed, evidence based decisions through maintaining source of truth data sources and dashboards
 </li>
 <li>
 Work closely with game team to design, test, verify and implement machine learning models and product features with Zynga&rsquo;s games that impact millions of users.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
 </li>
 <li>
 5+ years of work experience in data science or analytics roles
 </li>
 <li>
 Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
 </li>
 <li>
 Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
 </li>
 <li>
 Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 Ability to work effectively in a fast-paced environment with changing priorities
 </li>
 <li>
 Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact
 </li>
 <li>
 Strong passion for gaming!
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits
 
 
 We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic &ndash; not an individual&rsquo;s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
 
 
 As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.
 
 
 Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga&rsquo;s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
 
 
</div>

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

Senior Data Scientist

ITC Infotech

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 Location : Bangalore
 
 
 
 
 Mode: Hybrid
 
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 We are seeking highly skilled and innovative Data Scientists with strong expertise in Azure AI and ML to join our team.
 </li>
 <li>
 The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions.
 </li>
 <li>
 You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation.
 </li>
 </ul>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy ML and AI models on the Azure ecosystem. &iquest; Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.
 </li>
 <li>
 Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems.
 </li>
 <li>
 Leverage Copilot Studio, AI Foundry, Genie AI in Databricks, and other Azure-native services for generative AI use cases.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
 </li>
 <li>
 Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
 </li>
 <li>
 Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
 </li>
 <li>
 Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment. Required Skills &amp; Qualifications
 </li>
 <li>
 Proven hands-on experience in Azure Machine Learning, Azure AI services, and Databricks.
 </li>
 <li>
 Strong background in NLP, NLG, LLMs, and generative AI frameworks.
 </li>
 <li>
 Experience with unstructured data pipelines and feature engineering.
 </li>
 <li>
 Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
 </li>
 <li>
 Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is highly desirable.
 </li>
 <li>
 Strong problem-solving, analytical, and innovation skills.
 </li>
 <li>
 Excellent communication and storytelling ability to present AI solutions to stakeholders.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Preferred Qualifications
 </li>
 <li>
 Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
 </li>
 <li>
 Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants.
 </li>
 <li>
 Familiarity with MLOps frameworks for productionizing AI models.
 </li>
 </ul>
</div>

Ather Energy

<div>
 Job Title: Product Analyst (Software Products) - Connected Platforms
 
 
 The Digital Growth Product Team is responsible for driving key business objectives on digital channels. We are looking for a proactive and detail-oriented Product Analyst. This role involves a mix of operational and strategic responsibilities, focused on driving growth through website optimisation, lead conversion along with data engineering and reporting.
 
 
 
 About The Role
 
 
 
 You&rsquo;ll be our: Product Analyst
 
 
 You&rsquo;ll be based at: IBC Knowledge Park, Bengaluru
 
 
 You&rsquo;ll be Aligned with: Senior Product Manager - Software Products
 
 
 You&rsquo;ll be a member of: Product Management Team
 
 
 What you&rsquo;ll do at Ather:
 
 
 The Product Analyst will be responsible for the following key ownership areas:
 
 
 <ul>
 <li>
 On-site Conversion of Leads: Optimize the website to improve the conversion rate of leads. This involves analyzing user behavior, identifying areas for improvement, and implementing A/B tests.
 </li>
 <li>
 Website Updates (including scooter launches): Manage website updates, including new page creation, content updates, and ensuring a smooth user experience for new vehicle launches. This requires strong project management skills and close collaboration with cross-functional teams.
 </li>
 <li>
 Information Updates &amp; Other P&amp;L: Assist in the maintenance and accuracy of key information related to the business on the website. This includes ensuring information is up-to-date across relevant platforms and building tools to make this process self-served by the business teams
 </li>
 <li>
 Reporting &amp; analytics: Define Product Metrics. Define &amp; Maintain events that are required for the measurement of product metrics. Measure, analyze, and present these at regular intervals and work towards automating the reporting process. Derive insights into customers' behavior and how they use our products and features. Work with program managers, developers, designers, and other stakeholders to give them insights on the product and customer behavior.Incorporate your analytics into product artifacts such as PRD for the product or feature enhancements.
 
 
 </li>
 </ul>
 You&rsquo;ll gain hands-on experience with end-to-end ownership of smaller product improvements, giving you a comprehensive understanding of the product journey. This role is designed to pave your way towards taking on larger, more impactful product management responsibilities in the future.
 
 
 Here&rsquo;s what we are looking for:
 
 
 <ul>
 <li>
 Experience with website analytics tools (e.g., Google Analytics) &amp; Product Analytics Tools like Posthog, MixPanel, or Amplitude.
 </li>
 <li>
 Experience in working with OLAP Data Warehouses like Clickhouse, BigQuery, Redshift
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to interpret data and generate actionable insights, very comfortable with SQL
 </li>
 <li>
 Strong organizational and time-management skills, with the ability to prioritize tasks and meet deadlines.
 </li>
 <li>
 Excellent communication and interpersonal skills, ability to collaborate effectively with cross-functional teams.
 </li>
 <li>
 Proactive attitude and willingness to learn and adapt to new challenges.
 
 
 </li>
 </ul>
 You bring to Ather:
 
 
 <ul>
 <li>
 Min 2 years of relevant experience; Prior experience in a customer experience product role will be great
 </li>
 <li>
 Bachelor's degree in a relevant field. MBA is not mandatory.
 </li>
 </ul>
</div>

Product Analyst

Microsoft

<div>
 Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
 
 
 The Defender Experts (DEX) Research team is at the forefront of Microsoft&rsquo;s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left&mdash;disrupting threats early, before damage occurs&mdash;by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We&rsquo;re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX&rsquo;s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter&mdash;with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions.
 </li>
 <li>
 Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships.
 </li>
 <li>
 Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response.
 </li>
 <li>
 Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development.
 </li>
 <li>
 Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment.
 </li>
 <li>
 Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models.
 </li>
 <li>
 Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response.
 </li>
 <li>
 Collaborate closely with engineering and product teams to integrate solutions into production platforms.
 </li>
 <li>
 Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field
 </li>
 <li>
 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection
 </li>
 <li>
 Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn)
 </li>
 <li>
 Strong foundation in statistics, probability, and applied machine learning techniques
 </li>
 <li>
 Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams
 </li>
 <li>
 Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied & Data scientist

Eastvantage

<div>
 
 🌟 We're Hiring: Data Operations Analyst! 🌟
 
 
 
 Eastvantage is looking for a
 
 Data Operations Analyst
 
 to support the core Product Ops team in delivering on SLAs for Assisted API products. While this is not a client-facing role, it directly impacts the end user and enhances the experience of developers integrated with us.
 
 
 
 📍 Location:
 
 Bengaluru, India
 
 
 
 ⏰ Work Mode:
 
 Work From Office
 
 
 
 💼 Role:
 
 Data Operations Analyst
 
 
 
 What You'll Do
 
 
 
 The desired candidate&rsquo;s day-to-day responsibilities will include:
 
 
 &cir; Review and format large volumes of structured data (Excel, CSV, JSON, etc.) according to established specifications or templates.
 
 
 &cir; Execute automated scripts and tools used in the data processing pipeline.
 
 
 &cir; Conduct thorough quality checks of outputs to ensure accuracy, completeness, and compliance with standards.
 
 
 &cir; Support the transition and optimization of data formatting processes.
 
 
 &cir; Follow repeatable processes consistently while managing multiple priorities within tight timelines (most processes have a 24-hour SLA).
 
 
 &cir; Collaborate with stakeholders to troubleshoot ambiguous situations and resolve complex problems.
 
 
 &cir; Contribute ideas for process improvement, automation, and standardization.
 
 
 
 What We're Looking For
 
 
 
 The desired candidate should have the below experience:
 
 
 <ul>
 <li>
 Proven experience handling structured data (Excel, CSV, JSON, etc.).
 </li>
 <li>
 Familiarity with data formatting and transformation tools (Excel, SQL, Python scripts, etc.).
 </li>
 <li>
 Strong attention to detail with the ability to complete tasks end-to-end.
 </li>
 <li>
 Highly organized with the ability to prioritize and triage tasks effectively.
 </li>
 <li>
 Ability to work efficiently under tight SLAs and deadlines.
 </li>
 <li>
 Comfortable handling ambiguity and resolving operational challenges.
 </li>
 <li>
 Prior experience with scripting or automation tools is a plus.
 </li>
 <li>
 Knowledge of HR and payroll concepts is an advantage.
 
 
 </li>
 </ul>
 Ready to make an impact? 🚀 Apply now and let's grow together!
</div>

Data Operations Analyst

Explore 492+ Senior data analyst in Mangaluru this October. Find roles across top companies and apply now to boost your career.

492 senior data analyst jobs IN Mangaluru

Senior Data Analyst

Senior Data Analyst

Senior Data Scientist

Senior Data Scientist

Product Analyst

Senior Applied & Data scientist

Data Operations Analyst