Data Analyst

The interview process at Ascendion typically spans three rounds. The first round is an online aptitude test focusing on logical reasoning and quantitative ability. The second round is a technical interview where candidates are evaluated on Excel proficiency, SQL queries, data visualisation concepts, and a mini case study. The final HR round assesses cultural fit, communication skills and career aspirations. Preparation should include hands‑on dashboard creation and clear articulation of past analytical projects.

Ascendion promotes an inclusive, high‑performance culture where learning is continuous and ideas are encouraged. Employees enjoy a balanced hybrid work model, regular up‑skilling sessions, and clear career progression pathways.

Bachelor's degree in Computer Science, Information Technology, Statistics, Economics, or related field; minimum 60% aggregate; graduating batch 2025‑2027; no active backlogs; strong analytical mindset and proficiency in Excel and data visualisation tools.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Excel, SQL, case study, data visualisation) → Round 3: HR Interview

Ascendion is an AI‑native platform driven software engineering firm that helps global enterprises accelerate innovation. With a client base that includes Global 2000 companies across North America, Europe, the UK and APAC, Ascendion combines thousands of AI agents, expert engineers and its proprietary Engineering to the Power of AI™ (EngineeringAI) methodology to deliver measurable outcomes. The company’s mission is to underwrite outcomes, turning complex data and technology challenges into strategic advantages for Fortune 500 brands. Its rapid growth is fueled by a culture of inclusion, partnership and continuous learning, making it an attractive destination for fresh talent looking to make an impact. The Data Analyst role is positioned at the heart of Ascendion’s data‑driven decision‑making engine. Reporting to the Analytics Lead, the analyst will collect, cleanse, and transform data from multiple internal and external sources, turning raw numbers into actionable insights for senior stakeholders. The position is hybrid, based in Gurugram, allowing for a blend of on‑site collaboration and remote productivity. Candidates will work closely with product managers, engineers and business analysts to build dashboards, generate executive summaries, and support data‑centric initiatives that drive client success. Key Responsibilities: 1. Gather data from varied sources (databases, APIs, spreadsheets) and ensure data quality. 2. Perform exploratory data analysis to identify trends, anomalies and opportunities. 3. Design and develop interactive dashboards using tools such as Power BI or Tableau. 4. Create automated reports and visualisations for senior leadership. 5. Translate business requirements into technical specifications and analytical models. 6. Conduct ad‑hoc analysis to answer strategic questions from product and sales teams. 7. Document data pipelines, methodologies and findings for reproducibility. 8. Collaborate with engineering teams to improve data ingestion and storage processes. 9. Present insights clearly through storytelling, charts and executive summaries. 10. Stay updated with emerging analytics techniques and suggest process improvements. Tech Stack: Excel (advanced), SQL, Power BI/Tableau, Python (pandas, matplotlib), Git for version control, and basic knowledge of cloud data warehouses (Snowflake, BigQuery). The role offers a clear growth path – from Analyst to Senior Analyst, then to Analytics Lead or Product Manager, with regular up‑skilling through Ascendion’s internal training programs and certifications. Why Join Ascendion? You will work on cutting‑edge AI‑enabled projects for world‑leading brands, gain exposure to a global client ecosystem, and receive mentorship from seasoned data engineers and scientists. The hybrid model supports work‑life balance while fostering a collaborative environment where ideas are shared openly. Ascendion’s commitment to continuous learning, inclusive culture and measurable impact makes it an ideal launchpad for ambitious freshers eager to shape the future of data analytics.