Data analysts on LinkedIn compete with thousands of profiles listing the same SQL, Python and Power BI stack. What gets found is a headline built around domain plus method, such as collections analytics or A/B testing, backed by a Featured section with published dashboards or notebooks using public or anonymised data.
Collections and portfolio analytics for lenders and NBFCs | Roll rates, early warnings, SQL at scale
The first headline repeats a common slogan used on countless profiles. The rewrite names a domain, three specific analyses and two tools, making it discoverable and credible to D2C hiring managers.
Up to 220 characters. Lead with the words people search for.
Business Data Analyst | E-commerce | SQL, Python, Power BI | Cohort, Funnel and Repeat Purchase Analysis
Collections and portfolio analytics for lenders and NBFCs | Roll rates, early warnings, SQL at scale
Product Analyst | A/B Testing, Event Tracking & Retention for consumer apps | BigQuery, Python
Analytics Manager – Retail & FMCG | Building governed Power BI reporting for 200+ managers
Helping insurance and healthcare teams spot claims patterns early | Lead Data Analyst
Head of BI | Telecom & Fintech | Data quality, warehouse design and dashboards linked to OKRs
Aspiring Data Analyst 📊 | SQL | Excel | Tableau | Portfolio projects in retail sales and churn | Open to junior roles
MIS to analytics | Banking operations reporting, Power Query automation | Learning SQL and Power BI
A few short first-person paragraphs, ending with how to reach you.
I am a business data analyst in e-commerce, and my job is to help category and marketing teams make better decisions with the data they already have. Most of my week is spent writing SQL, building Power BI dashboards and running cohort and funnel analyses in Python. I also spend a lot of time on less glamorous work: agreeing metric definitions, checking data quality and writing short notes that explain what a number means and what it does not. One analysis I enjoyed recently looked at repeat purchase behaviour across categories. It led to a revised loyalty offer that modestly improved 90-day repeat rates in two categories. I believe a good analysis ends with a clear recommendation, not a bigger dashboard. If you work in e-commerce analytics or are hiring for business analytics roles, message me. I am always happy to exchange ideas.
I lead a team of seven analysts serving sales, supply chain and finance for a large retail and FMCG business, after twelve years in analytics. When I joined, most reporting lived in Excel files emailed around every Monday, and different teams often had different numbers for the same metric. Over three years we built a governed Power BI setup with a shared metric layer, now used by more than 200 managers. That work was as much about agreements between teams as about technology. Today my focus is prioritisation and people. I help my team choose analyses that matter, coach them on storytelling for leadership reviews, and protect time for deeper work alongside routine reporting. I enjoy mentoring analysts moving into their first lead roles. If you are building an analytics function in retail or consumer goods, or want to talk about BI governance, send me a message.
Written by the DigitalCVMaker team for data analysts applying in India. Every example is original — none is copied from a real person’s profile — and each is built around what employers and clients in this field look for: the role, a specialism, and proof you can back up. We revise the page when that changes; the date at the top shows the last update.
These are examples to adapt, not real people. Swap in your own numbers, specialisation, city and achievements — it only works when every word is true for you.
Post short breakdowns of analyses on public datasets, such as Indian rail punctuality or state-wise retail trends, with a chart and three key findings. Explain your approach briefly. Recruiters notice analysts who communicate clearly, which is a core skill in the role.
List relevant ones like Power BI PL-300 or cloud data certifications under Licences and Certifications. Skip short course completions that do not add new skills. Too many small certificates can make the profile look like learning without applying, which hiring managers notice.
Add your headline, summary and skills to a personal website with your photo, work and contact form — free to start.
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I lead a team of seven analysts serving sales, supply chain and finance for a large retail and FMCG business, after twelve years in analytics. When I joined, most reporting lived in Excel files emailed around every Monday, and different teams often had different numbers for the same metric. Over three years we built a governed Power BI setup with a shared metric layer, now used by more than 200 managers. That work was as much about agreements between teams as about technology. Today my focus is prioritisation and people. I help my team choose analyses that matter, coach them on storytelling for leadership reviews, and protect time for deeper work alongside routine reporting. I enjoy mentoring analysts moving into their first lead roles. If you are building an analytics function in retail or consumer goods, or want to talk about BI governance, send me a message.