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business analytics analyst Jobs in Pune India

business analytics analyst

data analyst

data analytics analyst

AllianceBernstein

<div>
 
 Company Description
 
 
 
 As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals, and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients&rsquo; most valued asset-management partner.
 
 
 With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business, or providing thoughtful advice to clients, we&rsquo;re looking for unique voices to help lead us forward. If you&rsquo;re ready to challenge your limits and build your future, join us.
 
 
 
 Department Description
 
 
 
 Global Analytics (GA) and Performance department is AB&rsquo;s strategic provider of standardized and consistent portfolio analytics across all products in support of portfolio management, client servicing and marketing. GA &amp; Performance department produces analytics reports in post investment portfolio analytics including account performance, GIPS composite performance, performance attribution, risk analysis, benchmark data, and other analytical studies for institutional, retail, and private client investors. Department covers various services in equity, fixed income, multi-asset, and alternative investments. As an asset management firm that applies fundamental and quantitative research to the investment process, our value-added scalable analytics solutions can help develop and sustain a global competitive advantage.
 
 
 
 GA &amp; Performance Department Includes 4 Major Functions
 
 
 
 <ul>
 <li>
 Account and GIPS composite performance
 </li>
 <li>
 Performance attribution and analytics
 </li>
 <li>
 Investment risk analytics
 </li>
 <li>
 Benchmark service
 
 
 </li>
 </ul>
 
 Role Description
 
 
 
 The Analyst is a key role for our firm providing various composite performance reports and reviewing and auditing composites&rsquo; monthly performance.
 
 
 Analyst will be responsible for day-to-day activities of the team which include -
 
 
 <ul>
 <li>
 Ensure timely delivery of standard and ad-hoc analytics/ reports.
 </li>
 <li>
 Contribute towards Process Improvement initiatives/automations within the team.
 </li>
 <li>
 Adhere to the quality standards as per business requirements by ensuring accuracy and timeliness parameters are met as per the target.
 
 
 </li>
 </ul>
 
 Key job responsibilities include, but are not limited to -
 
 
 
 <ul>
 <li>
 Monitor product coding on new accounts and changes to existing accounts, transition status, and accounts with restrictions
 </li>
 <li>
 Assist with the annual GIPS verification &amp; internal audit
 </li>
 <li>
 Assists GIPS performance analysts, operations, portfolio managers and other users regarding the details of GIPS composites
 </li>
 <li>
 Maintenance &amp; construction of GIPS composites
 </li>
 <li>
 Resolve any outliers identified in the GIPS composite review process
 </li>
 <li>
 Support RFP Group as it pertains to composite performance
 </li>
 <li>
 Maintain procedures on composite processes and communication of changes
 </li>
 <li>
 Monitor ongoing developments in GIPS compliance including best market practices
 </li>
 <li>
 Create and modify processes and procedures to protect and improve the integrity of the GIPS process.
 
 
 </li>
 </ul>
 
 Qualification/ Experience
 
 
 
 <ul>
 <li>
 Ability to work independently, set priorities and deliver results (under tight time frames and pressure)
 </li>
 <li>
 Experience with composite construction, rules and industry practice, portfolio performance and investments and/or products
 </li>
 <li>
 0-2 years of relevant experience
 </li>
 <li>
 Strong interpersonal, communication, listening, and writing skills.
 </li>
 <li>
 Action oriented with a focus on results and an innovative mindset
 </li>
 <li>
 Highly motivated, proactive and self-starter
 </li>
 <li>
 Ability to work well on a global integrated team
 </li>
 <li>
 Proficiency with Excel, PowerPoint
 
 
 </li>
 </ul>
 Pune, India
</div>

Performance & Analytics Analyst

<div>
 <ul>
 <li>
 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
 </li>
 <li>
 Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
 </li>
 <li>
 Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
 </li>
 <li>
 Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
 </li>
 <li>
 Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
 </li>
 <li>
 Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
 </li>
 <li>
 Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
 </li>
 <li>
 Understanding of ER Diagram and Data Modeling concepts
 </li>
 <li>
 Exposure to Data quality validation
 </li>
 <li>
 Exposure to Data Management, Data Cleaning and Data Preparation
 </li>
 <li>
 Exposure to Data Schema analysis.
 </li>
 <li>
 Exposure to working in Agile framework.
 </li>
 <li>
 SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit &amp; Lending domain knowledge.
 </li>
 <li>
 Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
 </li>
 <li>
 Retail Credit / Traded Credit knowledge - applications will be considered.
 
 
 </li>
 </ul>
 
 Good To Have
 
 
 
 <ul>
 <li>
 BFSI Domain knowledge
 </li>
 <li>
 Data Visualization - Tableau or Qlik Sense
 </li>
 <li>
 Exposure to Hadoop, Hive and ETL.
 </li>
 <li>
 Working knowledge of any cloud services like AWS or GCP or Azure.
 </li>
 <li>
 Any relevant certifications would be a plus.
 </li>
 </ul>
</div>

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

Syngenta

<div>
 
 Company Description
 
 
 
 At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet &ndash; making us the world's most local agricultural technology and innovation partner.
 
 
 Website address - https://www.syngentagroup.com/
 
 
 LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all
 
 
 
 Job Description
 
 
 
 We are seeking a highly analytical and business-focused Data Scientist to join our People Analytics &amp; Insights team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to uncover insights from workforce data, supporting strategic talent decisions across the organization. You will partner closely with HR, Talent Management, and business leaders to deliver data-driven solutions that enhance employee experience, improve workforce planning, and inform diversity, equity, and inclusion (DEI) strategies.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex HR datasets (e.g., engagement, attrition, performance, compensation, hiring) to uncover trends, patterns, and opportunities for business impact.
 </li>
 <li>
 Build predictive and prescriptive models (e.g., attrition risk, career pathing, workforce segmentation) to support data-informed people strategies.
 </li>
 <li>
 Translate business problems into analytical questions and communicate findings in clear, actionable terms to non-technical audiences.
 </li>
 <li>
 Develop visualizations, dashboards, and storytelling tools to enhance insight delivery (e.g., in Tableau, Power BI, Workday Discovery Boards).
 </li>
 <li>
 Partner with HR stakeholders to identify KPIs, define success metrics, and improve people-related decision-making through data.
 </li>
 <li>
 Design and implement surveys, experiments (A/B testing), and causal inference models to evaluate the impact of HR programs and initiatives.
 </li>
 <li>
 Ensure ethical data use and compliance with privacy and governance standards.
 </li>
 <li>
 Stay current on industry best practices in people analytics, data science, and AI/ML in HR.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, Industrial/Organizational Psychology, Economics, or a related field.
 </li>
 <li>
 3&ndash;5+ years of experience in data science, analytics, or a similar role, ideally within HR or workforce analytics.
 </li>
 <li>
 Proficiency in Python or R for statistical analysis and modeling.
 </li>
 <li>
 Strong SQL skills for data extraction and manipulation.
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI, Workday Discovery Boards).
 </li>
 <li>
 Solid understanding of machine learning algorithms, statistical modeling, and hypothesis testing.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex analytical concepts to HR and business audiences.
 </li>
 <li>
 Familiarity with Workday, SAP SuccessFactors, or other HRIS platforms is a plus.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience with natural language processing (NLP) on employee feedback or engagement data.
 </li>
 <li>
 Knowledge of DEI analytics and workforce diversity measurement.
 </li>
 <li>
 Exposure to cloud-based data platforms (e.g., AWS, GCP, Azure).
 </li>
 <li>
 Understanding of HR functional areas like talent acquisition, performance management, and learning &amp; development.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Analytical Thinking &amp; Problem Solving
 </li>
 <li>
 Business Acumen &amp; Strategic Mindset
 </li>
 <li>
 Data Storytelling &amp; Visualization
 </li>
 <li>
 Collaboration &amp; Stakeholder Management
 </li>
 <li>
 Data Ethics &amp; Privacy Awareness
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 WL: 4A
 
 
 Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status
 
 
 Follow us on: Twitter &amp; LinkedIn
 
 
 https://twitter.com/SyngentaAPAC
 
 
 https://www.linkedin.com/company/syngenta/
</div>

Data Scientist People Data Analytics & Insights

Aumni

<div>
 
 Job Summary
 
 
 
 We are seeking a detail-oriented and proactive
 
 Data Analyst
 
 to support the digitisation and optimisation of insurance policy data. This role will begin with hands-on data entry and validation of customer insurance documents, with the long-term objective of contributing to process automation using machine learning (ML). The ideal candidate will bring insurance industry experience, strong analytical capabilities, and a passion for improving data quality and workflow efficiency.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Entry &amp; Validation
 </li>
 <li>
 Accurately extract and input data from insurance policy documents into the designated User Interface (UI).
 </li>
 <li>
 Validate data to ensure consistency, completeness, and compliance with Data Governance (DG) standards.
 </li>
 <li>
 Data Cleansing &amp; Quality Assurance
 </li>
 <li>
 Identify discrepancies, errors, or missing information and correct them as per established guidelines.
 </li>
 <li>
 Maintain high-quality standards while managing large volumes of structured and unstructured data.
 </li>
 <li>
 Process Documentation
 </li>
 <li>
 Create clear, step-by-step documentation outlining the data entry and cleansing workflow.
 </li>
 <li>
 Update process guides as tools, requirements, or workflows evolve.
 </li>
 <li>
 Automation &amp; Process Improvement
 </li>
 <li>
 Collaborate with the data and product teams to identify opportunities for automation using ML and other technologies.
 </li>
 <li>
 Provide insights to streamline workflows, enhance efficiency, and improve overall data quality.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 2&ndash;3 years of experience in the insurance industry as an Underwriting Assistant, Broker Account Manager, or similar role.
 </li>
 <li>
 Strong attention to detail with a commitment to maintaining high data accuracy.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Effective communication and presentation skills.
 </li>
 <li>
 Ability to work both independently and within a team environment.
 </li>
 <li>
 A strong willingness to learn and adapt to new tools, technologies, and processes.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in Specialty &amp; Risk insurance.
 </li>
 <li>
 Prior exposure to the Marine or Aviation insurance sector.
 
 
 </li>
 </ul>
 
 About Aumni
 
 
 
 <ul>
 <li>
 Aumni, established in 2016, is a Software Services Company that partners with Product companies to build and manage their dedicated teams in India.
 </li>
 <li>
 So, while you are working for a services company, you are working within a product team and growing with them.
 </li>
 <li>
 These are not projects but product development, and we have long term (open ended) contracts with our clients. When our clients sign up with us, they are looking at a multi-year relationship. Most of our clients have been with 6,8,9 years.
 </li>
 <li>
 We do not move people across client teams and there is no concept of bench.
 </li>
 <li>
 At Aumni, we believe in quality work, and we truly believe that Indian talent is at par with global talent from US or Europe.
 </li>
 <li>
 We are 350+ and growing
 
 
 </li>
 </ul>
 
 Benefits Of Working At Aumni
 
 
 
 <ul>
 <li>
 Our award winning culture reminds us of our engineering days.
 </li>
 <li>
 Medical insurance (including Parents), Life and disability insurance
 </li>
 <li>
 24 leaves + 10 public holidays + leaves for Hospitalisation, maternity, paternity and bereavement.
 </li>
 <li>
 On site Gym, TT, Carrom, Foosball and Pool
 </li>
 <li>
 Hybrid work culture
 </li>
 <li>
 Fitness group / rewards
 </li>
 <li>
 Aumni Premier League, Aumni's Got Talent, Friday Socials, Annual parties, treks.
 
 
 </li>
 </ul>
 
 Aumni Values
 
 
 
 
 BE BOLD
 
 
 
 <ul>
 <li>
 Dare to innovate, challenge the norm and take ownership. Growth comes from courage.
 
 
 </li>
 </ul>
 
 BE TRUE
 
 
 
 <ul>
 <li>
 Act with integrity and transparency - in every task, every decision and every interaction.
 
 
 </li>
 </ul>
 
 BE KIND
 
 
 
 <ul>
 <li>
 Respect people, embrace diversity and support our culture of empathy and high collaboration.
 
 
 </li>
 </ul>
 
 BE YOU
 
 
 
 <ul>
 <li>
 Bring your authentic self to work. Have fun working, celebrate individuality and create space for everyone to thrive.
 </li>
 </ul>
</div>

Data Analyst

Addepar

<div>
 
 Who We Are
 
 
 
 Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, Dubai, and Geneva.
 
 
 
 The Role
 
 
 
 A Technical Data Analyst is responsible for performing data migration, data conversion and data validation projects for Addepar clients using existing tools and established processes. The ideal candidate will have a good understanding of financial portfolio data, a foundational level of python programming skills, exceptional communication skills and the ability to deliver results in alignment with project deadlines while meeting high quality standards.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Convert, migrate and validate data from external or internal sources using existing tooling with defined processes and workflows
 </li>
 <li>
 Complete data projects on-time meeting project deadlines while adhering to high quality standards
 </li>
 <li>
 Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations
 </li>
 <li>
 Run python ETL scripts and at times modify, fix or debug as needed
 </li>
 <li>
 Raise keys issues to project team members and senior leadership as necessary
 </li>
 <li>
 Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line
 </li>
 <li>
 Adhere to project management standard processes
 </li>
 <li>
 Identify and drive opportunities to improve current processes, workflows and tools to increase efficiency and automation
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Minimum 2+ years experience working in technology and finance
 </li>
 <li>
 Experience working with colleagues spread across multiple global locations
 </li>
 <li>
 Must have domain experience wealth/portfolio/investment management.
 </li>
 <li>
 Proficient in Python programming language and well versed in ETL concepts
 </li>
 <li>
 Must have experience working in financial markets and has experience with financial products and wealth / portfolio data.
 </li>
 <li>
 Excellent written and oral communication skills with the ability to convey complex information in an understandable manner
 </li>
 <li>
 Solution-oriented and passion for problem solving
 </li>
 <li>
 Highly organized, close attention to detail and driven to make processes more efficient
 </li>
 <li>
 Positive attitude, good work ethic, proactive and a high contributing teammate
 </li>
 <li>
 Independent, adaptable and can work with minimum supervision
 </li>
 <li>
 Proven ability to manage expectations and provide regular updates to the project team
 
 
 </li>
 </ul>
 
 Important Note: This role will require you to work from Pune office 3 days a week in UK shift i.e. 2:30 PM to 11:30 PM IST. (hybrid role)
 
 
 
 
 Our Values
 
 
 
 <ul>
 <li>
 Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
 </li>
 <li>
 Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
 </li>
 <li>
 Champion Our Clients - Exceed client expectations. Our clients&rsquo; success is our success.
 </li>
 <li>
 Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
 </li>
 <li>
 Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
 
 
 </li>
 </ul>
 In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote &ldquo;interviews,&rdquo; and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.
</div>

Technical Data Analyst - Python

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&acirc;&euro;&trade;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp;
 
 
 Experience: 5-8 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Analyst L4

Osmos

<div>
 
 
 Who We Are:
 
 Osmos, a B2B SaaS company founded by ex-Amazon ad-tech experts, is revolutionizing retail media with an AI-powered operating system that increases retailer profitability (by up to 7% of sales) and delivers superior ROAS for brands. By enabling Tier 1 retailers and marketplaces worldwide to activate more brands and leverage advanced targeting, we help them secure a lasting competitive edge.
 
 
 
 
 
 
 Your Impact:
 
 
 
 We are looking for a data-driven and strategically-minded Business Analyst to join our Customer Success team. In this role, you will transform customer data into actionable insights, helping our Customer Success Managers optimize customer experience, adoption, and retention.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 Data Analysis &amp; Insights
 
 
 <ul>
 <li>
 Perform in-depth analysis of customer and campaign data to identify trends, patterns, and optimization opportunities.
 </li>
 <li>
 Structure and manage large data sets using
 
 
 Python, BigQuery, and Excel
 
 
 to ensure accuracy and usability.
 </li>
 <li>
 Generate actionable insights that improve campaign performance, customer experience, and retention.
 </li>
 <li>
 Create and maintain dashboards/reports to track performance metrics tied to revenue and success outcomes.
 </li>
 </ul>
 
 
 Campaign Optimization
 
 
 <ul>
 <li>
 Partner with Customer Success Managers to analyze campaign data, assess performance, and recommend optimization strategies.
 </li>
 <li>
 Measure campaign effectiveness against defined KPIs and provide insights to improve ROAS and client satisfaction.
 </li>
 </ul>
 
 
 Collaboration &amp; Stakeholder Engagement
 
 
 <ul>
 <li>
 Partner with Customer Success Managers, Product, Sales, and Operations teams to align insights with business priorities.
 </li>
 <li>
 Support quarterly business reviews (QBRs) with data-driven insights for key accounts.
 </li>
 <li>
 
 Translate business requirements into clear, actionable data insights and reports.
 
 </li>
 </ul>
 
 
 Process Improvement &amp; Reporting
 
 
 <ul>
 <li>
 Recommend and implement process improvements and automation opportunities within Customer Success operations.
 </li>
 <li>
 Ensure data integrity, consistency, and accuracy across reporting systems.
 </li>
 </ul>
 
 
 
 
 
 You'll Thrive If You Have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Business, Data Analytics, Information Systems, or related field.
 </li>
 <li>
 1&ndash;3 years of experience in a Business Analyst or Data Analyst role (preferably in SaaS/B2B environment).
 </li>
 <li>
 Proficiency in Python, BigQuery, Excel, Data Analysis.
 </li>
 <li>
 Strong analytical thinking and ability to translate data into business insights.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 Why Choose Osmos?
 
 
 <ul>
 <li>
 
 Startup Energy, Enterprise Scale:
 
 Fast-paced innovation with global ambition
 </li>
 <li>
 
 Revolutionize Retail Marketing:
 
 Be at the forefront of AI-powered solutions
 </li>
 <li>
 
 Meaningful Contribution:
 
 Directly impacts major brands' success
 </li>
 <li>
 
 No Red Tape:
 
 Autonomy and empowerment to drive results
 </li>
 <li>
 
 Growth &amp; Fun:
 
 Continuous learning in a vibrant, collaborative culture
 </li>
 <li>
 
 Competitive Rewards:
 
 We value your expertise and offer strong compensation
 </li>
 </ul>
 
 
 
 
 
 Ready to champion Business Analyst ? Apply now.
 
 
 
 
</div>

Business Analyst

Explore 103+ Data analytics analyst in Pune India this November. Find roles across top companies and apply now to boost your career.