What Jobs are available for Data Analyst in Mumbai?

About LXME:

LXME is India’s first comprehensive financial ecosystem designed exclusively for women empowering them to earn, spend, save, and invest with confidence.

From LXME Pay (our UPI-led payments platform) to Invest and Learn, we’re building a new kind of financial experience — one that starts with education and ends with empowerment.

About the Role:

• The Data Analyst (CBO Team) will be the analytical backbone of LXME’s business operations ensuring every decision, dashboard, and discussion is powered by accurate, timely data.
• This role owns end-to-end MIS, reporting, and performance visibility across all CBO functions from Sales and Distribution to Growth and Money Coach.
• You’ll turn raw data into actionable insights, connect AUM and TPV to performance funnels, and ensure every business metric is measurable, comparable, and reliable.

What You’ll Build / Lead / Own:

• Create, maintain, and automate daily/weekly/monthly MIS across sales, growth, and operations.
• Build interactive dashboards for key business metrics like AUM, TPV, CAC, and conversion etc.
• Ensure data hygiene, reconciliation, and accuracy across CRM, app, and backend systems.
• Develop and standardize KPI and KRA tracking frameworks for business teams.
• Prepare weekly insight reports and leadership decks to drive business reviews.
• Collaborate with Sales, Distribution, and Growth teams to ensure reporting consistency and alignment.

What Success Looks Like:

• 100% accuracy in daily and monthly business reports.
• Reduction in reporting errors and turnaround time.
• Real-time visibility on AUM, TPV, and conversion KPIs.
• Improved decision-making through reliable data insights.
• High adoption and trust in dashboards across CBO functions.

Who You Are:

• A data professional who turns chaos into clarity — equally comfortable in Excel and SQL.
• Obsessed with accuracy, structure, and storytelling through numbers.
• Business-minded: you understand how metrics connect to outcomes (AUM, CAC, TPV).
• Collaborative and responsive, with an eye for efficiency.
• Passionate about LXME’s mission to make financial confidence measurable and scalable.

Qualifications & Experience:

• 4–6 years' experience in fintech/BFSI analytics or business intelligence.
• Hands-on with Advance Excel, Power BI or other visualization tools. SQL preferred but not mandatory
• Strong understanding of sales and revenue reporting structures.
• Ability to analyze large datasets, identify patterns, and communicate insights clearly.
• Experience building or maintaining KPI dashboards and leadership MIS.

Why LXME:

At LXME, data isn’t just numbers — it’s insight, intent, and impact.

You’ll work at the heart of the business, turning complex data into clarity that drives growth, accountability,and women’s financial empowerment.

We are proposing to take a contract employee for 1 year. Once we move to full fledged system, we will absorb him full time in the system.

Key responsibilities would be:

• Thorough monitoring of the call closing by DB engineers on daily basis
• Prepare and manage MIS of the distributors
• Identify lacunae in the process and update /modify the MIS accordingly.
• Calculate the financial and operational KPIs on month-to-month basis for each of the distributor
• Discuss with distributors and check compliance on the KPIs and ensure distributors mee the operating KPIs
• Discuss with distributors and check compliance on call completion, spares return etc.
• Calculate the payout of DBs on monthly basis and facilitate the payment with finance team
• Co-ordinate with call center team to check/validate whether the services calls/PM calls are being transferred to DB or not
• Coordinate with IT team to ensure the access of Zoho to DB
• Manager the coordination, documentation of onboarding new distributors
• Track the training, onboarding of the distributors into the systema and hand-over to customers
• Call customers and check their feedback on the performance of the distributors
• Etc.

• Potential salary would be ~20-25K per month.

Interested candidates please mail their CVs at

Role overview:

We are seeking a detail-oriented and insights-driven Senior Data Analyst to join our growing Insights & Experience team. In this role, you will be responsible for analyzing quantitative survey data to uncover customer insights, identify key trends and pain points, and translate findings into clear, actionable recommendations. The ideal candidate will have a strong background in customer research, experience with Voice of Customer (VoC) and Customer Experience (CX) programs, and the ability to deliver compelling presentations to internal stakeholders and clients.

Key Responsibilities:

• Analyze structured and unstructured survey data to extract trends, patterns, and key insights related to customer experience, satisfaction, and behavior.
• Review and interpret open-ended (verbatim) responses, identify key themes, and assess sentiment using manual and automated methods.
• Support Quantitative Research and VoC/CX programs by creating cross-tab reports, dashboards, and insights summaries.
• Work closely with Consumer Insights, Marketing, Product, and Experience teams to translate data into business narratives.
• Design and deliver visually compelling PowerPoint presentations highlighting findings, pain points, and strategic recommendations.
• Present insights to senior stakeholders in a clear, confident, and consultative manner.
• Collaborate with stakeholders to understand business questions and align analysis to their objectives.
• Maintain quality standards in data cleaning, validation, and integrity across survey datasets.
• Continuously explore new methods, tools, and frameworks to improve insight generation.
• Use statistical techniques to support advanced analysis, including regression, factor analysis, or segmentation.

Key Skills:

• Bachelor’s or Master’s degree in Statistics, Economics, Market Research, Business Analytics, Psychology, or related fields.
• 7+ years of experience in Quantitative Research, Customer Insights, VoC programs, or CX analytics.
• Strong analytical skills and comfort with large datasets derived from surveys or feedback platforms (e.g., Qualtrics, Medallia, SurveyMonkey, etc.).
• Proven ability to interpret data and translate it into insightful, business-relevant stories.
• Familiarity with open-end verbatim analysis, sentiment tagging, and theme identification.
• Excellent skills in Microsoft PowerPoint – ability to create compelling insights decks.
• Proficient in Excel or Google Sheets for data analysis and tabulations.
• Strong presentation and communication skills – must be able to deliver insights to leadership-level stakeholders.
• High attention to detail and commitment to accuracy and data quality.
• Knowledge of basic statistics or tools like SPSS, R, or Python.

Why NeuIQ :

• Culture of Innovation : Join a team that values creativity, experimentation, and disruption in the tech industry.
• Growth Opportunities : NeuIQ is committed to helping our team members grow their skills and careers through learning and development.
• Work-Life Balance : Flexible work options, including (remote/hybrid/on-site), ensuring you can thrive both personally and professionally.
• Diversity and Inclusion : At NeuIQ, we celebrate differences and foster a culture where everyone feels valued and heard.

Equal Opportunity Employer Statement: NeuIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

• Assist in the collection and organization of data from various sources.
• Perform data cleaning and preparation to ensure accuracy and completeness.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Generate regular reports and dashboards to visualize data insights.
• Support senior analysts in developing analytical models and performing statistical analysis.
• Collaborate with stakeholders to understand their data requirements and provide relevant insights.
• Assist in the documentation of data processes and methodologies.
• Learn and apply new data analysis techniques and tools.
• Contribute to team projects and initiatives.
• Ensure data integrity and security protocols are followed.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with data manipulation and analysis tools such as Excel, SQL, or Python/R (preferred).
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and presentation skills.
• Ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies.
• Understanding of data visualization principles is a plus.
• Prior internship experience in data analysis is beneficial but not mandatory.

• Assist in gathering and organizing data from various sources.
• Support in cleaning and pre-processing datasets to ensure accuracy and completeness.
• Perform basic data analysis under the guidance of senior analysts.
• Help create visualizations and reports to communicate findings.
• Learn and apply statistical techniques to analyze data trends.
• Participate in team meetings and contribute to project discussions.
• Develop proficiency in data analysis tools and software.
• Assist in maintaining databases and data dictionaries.
• Support ad-hoc data requests from different departments.
• Follow established data governance and privacy protocols.

• High school diploma or equivalent required; Bachelor's degree in progress in a relevant field (Statistics, Mathematics, Computer Science, Economics, Business) is a strong plus.
• Demonstrated interest in data analysis and problem-solving.
• Basic understanding of statistical concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets).
• Eagerness to learn and adapt to new technologies and methodologies.
• Good analytical and critical thinking skills.
• Effective communication and teamwork abilities.
• Previous internship or project experience in data-related fields is advantageous.
• Ability to manage time effectively and meet deadlines.
• Commitment to completing the apprenticeship program and acquiring new skills.

• Assisting in the design and implementation of data collection systems and strategies that focus on data quality and efficiency.
• Cleaning and transforming raw data to ensure accuracy and consistency for analysis.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and generating regular reports and dashboards to communicate findings to stakeholders.
• Collaborating with cross-functional teams to understand their data-related challenges and provide solutions.
• Supporting the development of predictive models and other data-driven applications.
• Maintaining documentation for data sources, methodologies, and processes.
• Staying updated with the latest trends and technologies in data analytics.