Data Analyst

The interview process at LinkedIn typically consists of an online aptitude test followed by a technical interview focusing on SQL, Excel and Python case studies, and finally an HR round assessing cultural fit and communication. The difficulty is moderate, with emphasis on logical reasoning and practical data‑analysis scenarios. Candidates should practice data‑cleaning exercises and be ready to discuss past projects clearly.

LinkedIn is known for a vibrant, inclusive work culture that encourages continuous learning and cross‑functional collaboration. Employees enjoy flexible work arrangements, strong mentorship programs and a focus on work‑life balance, making it an attractive place for early‑career professionals.

Graduates (B.Tech/B.E., B.Sc., BCA, B.Com) in Computer Science, Information Technology, Electronics, Statistics, Mathematics or related fields; Minimum 60% aggregate (or CGPA 6.5/10); Freshers or candidates with up to 2 years of experience; Batch year 2022‑2025; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.

Round 1: Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL, Excel, Python, case studies) → Round 3: HR Interview (fitment, communication, career goals)

OLTOWNS is an emerging retail‑technology startup that focuses on building data‑driven solutions for brick‑and‑mortar stores across India. Founded by a team of ex‑e‑commerce and supply‑chain professionals, the company leverages advanced analytics to help retailers optimise inventory, improve sales forecasting and enhance customer experience. With its headquarters in Bengaluru, OLTOWNS has rapidly expanded its footprint to several Tier‑2 and Tier‑3 cities, partnering with over 200 stores and processing millions of transaction records every month. The firm prides itself on a collaborative culture where every employee’s insight can shape product road‑maps and business strategies. As a Data Analyst at OLTOWNS, you will be at the heart of the decision‑making engine. You will work closely with product, operations and sales teams to translate raw business data into actionable insights. Your day‑to‑day responsibilities will include extracting data from multiple sources, cleaning and validating it, and building visual dashboards that surface key performance indicators for senior leadership. You will also be expected to automate repetitive reporting tasks, ensuring that stakeholders receive timely and accurate information without manual effort. Key Responsibilities: 1. Collect, clean, validate, and analyse business and operational data from sales, inventory, procurement and store‑level systems. 2. Prepare daily, weekly and monthly MIS reports that highlight performance against targets. 3. Develop and maintain interactive dashboards (Power BI/Tableau) for key business KPIs. 4. Identify trends, patterns, anomalies and growth opportunities through statistical analysis. 5. Track store and overall business performance against set goals and provide variance explanations. 6. Support management with data‑driven recommendations for strategic initiatives. 7. Collaborate with cross‑functional teams to understand requirements and translate them into analytical solutions. 8. Automate repetitive reporting and data‑processing workflows using Python/SQL scripts. 9. Ensure data accuracy, consistency and integrity across all reports and dashboards. 10. Present analytical findings in a clear, concise manner to both technical and non‑technical audiences. Tech Stack: SQL, Python (pandas, numpy), Excel, Power BI/Tableau, Git for version control, basic knowledge of cloud data warehouses (Snowflake/BigQuery) is a plus. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, then to Analytics Lead or Product Analyst roles, eventually moving into Data Science or Business Intelligence Management positions. The company encourages continuous learning through internal workshops, certifications and mentorship programs. Why Join OLTOWNS? You will be part of a fast‑growing startup that values data as a strategic asset. The role offers exposure to end‑to‑end analytics workflows, direct interaction with senior leadership, and the chance to make a tangible impact on retail businesses across India. If you are passionate about turning numbers into stories and love a dynamic, collaborative environment, OLTOWNS is an ideal place to launch your analytics career.