Are you passionate about data analysis, product metrics and solving business problems using data? BlackBuck is hiring a Product Analyst for its team in Koramangala, Bangalore. This opportunity is suitable for professionals with 1–3 years of experience who enjoy working with SQL, Excel, analytical problem-solving and cross-functional teams. The role focuses on turning raw data into meaningful business insights, monitoring product performance and identifying opportunities for improvement. Candidates who can combine analytical skills with business understanding may find this a valuable opportunity to grow in product analytics.
🏢 About the Company – BlackBuck
BlackBuck is an Indian technology company focused on the trucking and logistics ecosystem. Its technology platform helps connect stakeholders in freight transportation and supports digital workflows in the trucking industry. Logistics is a data-intensive business. Freight demand, vehicle utilisation, pricing, customer activity, transactions and operational efficiency can all influence business performance. Product analytics helps teams understand how users interact with digital products, identify friction points and make better decisions about product improvements. For an analyst, this environment can offer exposure to real-world business problems, digital product performance, customer behaviour and data-driven decision-making. The exact product area and team assignment for this vacancy have not been specified in the hiring announcement.
📌 Job Overview
- Company: BlackBuck
- Job Title: Product Analyst
- Location: Koramangala, Bangalore, Karnataka
- Experience Required: 1–3 years
- Work Mode: Work from Office (WFO)
- Core Skills Mentioned: SQL, Excel, analytical thinking and problem-solving
- Key Focus Areas: Product metrics, business insights, growth opportunities and cross-functional collaboration
💼 Why Is This Role Good for Experienced Professionals?
- Practical business impact: Use data to identify problems, understand performance trends and support decisions that affect product outcomes.
- Product metrics exposure: Learn to monitor user activity, engagement, conversion and other relevant performance indicators.
- SQL and Excel development: Strengthen data extraction, cleaning, analysis and reporting skills.
- Cross-functional collaboration: Work with product, business and operational teams to translate analytical findings into useful recommendations.
🛠️ Skills Required for the BlackBuck Product Analyst Role
- SQL: Filtering data, joins, aggregations, subqueries, CTEs and window functions to analyse business performance.
- Microsoft Excel: Pivot tables, lookup functions, conditional formulas, charts, data cleaning and summary reports.
- Analytical Problem-Solving: Break broad business questions into measurable problems, investigate trends and identify possible root causes.
- Product Metrics: Understand conversion rates, retention, engagement, funnel drop-offs, repeat usage and customer activity.
- Data Interpretation: Distinguish meaningful trends from anomalies and explain what the data does—and does not—show.
- Communication: Present clear findings and actionable recommendations to stakeholders who may not have a technical background.
🎯 Preparation Tip
1. Practise a product funnel analysis. Imagine users begin a booking or transaction journey but only some complete it. Use sample data to calculate conversion at each stage, identify where the largest drop occurs and suggest what you would investigate next. 2. Prepare SQL business questions. Practise finding daily transactions, monthly active users, repeat customers, average transaction values and changes in performance over time. Revise joins, GROUP BY, CASE WHEN, date functions and window functions. 3. Build an Excel analysis. Take a sample dataset and create a pivot table showing performance by date, customer segment or transaction category. Explain the trend and recommend a next step. 4. Learn to define product metrics properly. Be ready to explain how you would measure adoption, retention or conversion, including the time period, denominator and relevant user population. Avoid presenting a metric without defining it.
🧑💻 Expected Interview Rounds at BlackBuck
- Round 1 – Recruiter Screening: Experience, analytical background, interest in product analytics, location and work-from-office availability.
- Round 2 – SQL and Excel Assessment: Queries, data manipulation, aggregations, business calculations and interpreting tables.
- Round 3 – Analytical Case Study: Investigating a metric decline, identifying funnel drop-offs or recommending improvements using data.
- Round 4 – Product and Business Discussion: Product metrics, prioritisation, hypothesis formation and translating findings into recommendations.
- Round 5 – Hiring Manager Discussion: Project experience, communication, stakeholder collaboration and problem-solving approach. These are likely preparation areas, not verified BlackBuck-specific rounds. The actual process may vary by team.
💰 Expected Salary Range
The hiring announcement does not provide a salary band. As a rough, unofficial estimate, a Product Analyst with 1–3 years of experience in Bangalore might explore approximately ₹6–14 LPA, depending on analytical depth, relevant experience and compensation structure. This is not a confirmed BlackBuck offer range; verify the budget with the recruiter.
📄 Resume Tips
- Highlight SQL and Excel projects with specific business questions you solved.
- Quantify results honestly, such as reporting time saved, data analysed or measurable improvements supported by your analysis.
- Show product metrics experience, including conversion, retention, engagement or transaction performance where applicable.
- Describe recommendations and outcomes, not just the tools used.
- Include relevant dashboards or case studies if available and appropriate to share.
- Keep your experience concise and evidence-based, focusing on analytical thinking, business impact and collaboration.
📩 How to Apply
👉 Application Link: Click Here
The supplied announcement does not include an application email address or application URL. Interested candidates should refer to the original BlackBuck hiring announcement or contact its recruiter to confirm the official application process. Ensure your resume highlights 1–3 years of relevant experience, SQL, Excel, analytical problem-solving and product or business insights. Best wishes to aspire Product Analysts! 🚀 Prepare a clear example of how you used data to uncover a problem and recommend an actionable solution.
