Data Analyst
Zenix Solutions
About the role
Zenix Solutions is a fastβgrowing technology and consulting firm headquartered in Bengaluru, India, with a presence across major Indian metros. The company specializes in delivering endβtoβend digital transformation services to clients in finance, retail, healthcare, and logistics. Over the past few years, Zenix has built a reputation for leveraging cuttingβedge analytics, cloud platforms, and automation to solve complex business problems, earning multiple industry awards for innovation and client satisfaction.
The work culture emphasizes continuous learning, collaborative problemβsolving, and a strong focus on delivering measurable business impact.
As a Data Analyst at Zenix Solutions, you will be at the heart of the decisionβmaking engine for both internal teams and external clients. The role involves turning raw, heterogeneous data into clear, actionable insights that drive strategic initiatives. You will work closely with business stakeholders to understand reporting needs, extract and cleanse data from multiple sources, and build interactive visualizations that tell a compelling story.
Your analyses will directly influence product roadβmaps, marketing strategies, and operational efficiencies, making you a key contributor to the companyβs success.
Key Responsibilities
- Collect, organize, validate, and process data from multiple internal and external sources to ensure high data quality.
- Design and develop interactive dashboards, visual reports, and performance summaries using Power BI, Tableau, and advanced Excel functionalities.
- Perform exploratory data analysis to uncover trends, patterns, and business opportunities.
- Collaborate with crossβfunctional teams and clients to define analytical objectives and reporting requirements.
- Translate complex analytical findings into clear, nonβtechnical narratives for senior leadership and client presentations.
- Implement SQL queries and stored procedures to retrieve and manipulate large datasets efficiently.
- Apply statistical techniques and basic predictive modeling to support dataβdriven decision making.
- Maintain documentation of data pipelines, reporting logic, and dashboard versioning.
- Continuously monitor and improve existing reports for accuracy, performance, and relevance.
- Stay updated with the latest data visualization trends and recommend tool enhancements.
Tech Stack: SQL, Microsoft Excel (including Power Query & Power Pivot), Power BI, Tableau, Python (pandas, matplotlib), basic statistical packages (R or Pythonβs statsmodels), Git for version control.
Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to roles such as Data Scientist, Business Intelligence Manager, or Product Analytics Head, depending on skill development and business needs. Zenix offers structured mentorship, certification sponsorships, and exposure to multiβindustry projects to accelerate career growth.
Why Join Zenix Solutions? You will gain handsβon experience with diverse clients and realβworld business problems, work in a collaborative environment that values innovation, and receive professional development support including industryβrecognized certifications. The flexible remote work policy, competitive health benefits, and a culture that encourages workβlife balance make Zenix an attractive place for fresh talent to launch a rewarding analytics career.
Eligibility & process
Who can apply
Graduates (B.Tech/B.E., B.Sc., B.Com, BBA) in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields; Minimum 60% aggregate (or CGPA 6.5/10); Batch 2025β2027; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.
Skills & stack
Selection process
- Round 1: Aptitude & Logical Reasoning
- Round 2: Technical Interview (SQL, Excel, BI tools)
- Round 3: HR Interview (fit & culture)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Zenix Solutions's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.