Data Analyst

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (SQL, Python, Analytics case study) → Round 3: HR Interview (fitment, communication, career goals)

Ericsson promotes a collaborative and innovation‑driven work culture where engineers and analysts are encouraged to experiment and share ideas. Employees enjoy global exposure, structured learning programs and a balanced work‑life environment supported by flexible policies.

Ericsson’s interview process typically starts with a timed online assessment covering aptitude, logical reasoning and basic coding. The technical interview dives deep into SQL query writing, data‑modeling scenarios and Python data‑analysis tasks, often followed by a case‑study discussion. The HR round focuses on cultural fit, communication skills and career aspirations. Candidates should practice real‑world analytics problems and be ready to explain their thought process clearly.

Bachelor’s or Master’s degree in Engineering, Computer Science or a related discipline (B.E/B.Tech/M.Tech). Minimum aggregate 60% (or CGPA 6.0/10). Final year or recent graduate (batch up to 2026) eligible. No active backlogs at the time of joining. Candidates should have 3–4 years of relevant experience in analytics and development (2–4 years acceptable as per latest listing).

Ericsson is a global leader in telecommunications and networking solutions, with a legacy of more than 150 years in delivering cutting‑edge technology to operators worldwide. In India, Ericsson operates large R&D centres, network deployment hubs and service delivery units that enable the country’s digital transformation. The company prides itself on a culture of innovation, collaboration and continuous learning, offering employees exposure to multinational projects, state‑of‑the‑art tools and a supportive environment for professional growth. The Data Analyst role in Noida is positioned within the Operations Analytics team, where analysts turn raw operational data into actionable insights that drive service quality, cost efficiency and customer satisfaction. The role demands a blend of strong SQL expertise, data‑visualisation capabilities, and an understanding of telecom operations. Candidates will work closely with cross‑functional stakeholders, including network engineers, product managers and senior leadership, to translate business questions into measurable metrics and automated reporting solutions. Key Responsibilities: 1. Design, develop and automate standard and ad‑hoc analytical measures using SQL, PL/SQL and SSIS. 2. Clean, transform and enrich operational datasets to ensure data quality and consistency. 3. Build interactive dashboards and visualisations in Tableau or Power BI that highlight trends, anomalies and performance indicators. 4. Create Excel‑based reports with VBA macros to streamline recurring reporting tasks. 5. Leverage Python for data manipulation, statistical analysis and prototype machine‑learning models where applicable. 6. Utilise Google Cloud BigQuery for large‑scale query execution and cost‑effective data warehousing. 7. Identify process‑improvement opportunities, propose automation solutions and track the impact of implemented changes. 8. Mentor junior analysts, share best practices and contribute to the development of a robust analytics framework. 9. Collaborate with data engineers and data scientists to integrate advanced analytics pipelines. 10. Present findings to senior leadership in clear, business‑focused narratives. Tech Stack: SQL, PL/SQL, SQL Server, SSIS, Excel, Access, VBA, Tableau, Power BI, Python (Pandas, NumPy), GCP BigQuery, Agentic AI concepts, basic C#/Java knowledge. Growth Path: Analysts can progress to Senior Analyst, Analytics Lead, or move into specialized roles such as Data Engineer, Business Intelligence Architect or Product Analyst. Ericsson’s global footprint also opens avenues for international assignments and participation in flagship 5G projects. Why Join Ericsson: Employees benefit from a strong brand reputation, exposure to next‑generation telecom technologies, continuous learning programs, and a collaborative culture that values diversity and innovation. The company’s commitment to work‑life balance, flexible work arrangements and competitive benefits make it an attractive destination for ambitious data professionals.