Data Analyst
Golden Management Services
About the role
Golden Management Services is a midβsize IT services and consulting firm that has been operating in India for over a decade. The company focuses on delivering dataβdriven solutions to clients across banking, retail, and manufacturing sectors. With a strong emphasis on continuous learning, Golden Management Services invests in upβskilling its workforce through internal workshops, certifications, and mentorship programs.
The organization prides itself on a collaborative culture where junior talent works sideβbyβside with seasoned data scientists, enabling rapid knowledge transfer and realβworld exposure.
As a Data Analyst at Golden Management Services, you will be the backbone of the analytics team, turning raw data into actionable insights for business stakeholders. The role is designed for fresh graduates and earlyβcareer professionals who have a solid foundation in Excel, SQL, and basic programming concepts. You will get handsβon experience building dashboards, preparing MIS reports, and ensuring data quality across multiple projects.
The hybrid work model allows you to work from the office for collaborative sessions while also providing flexibility to work remotely for focused analysis tasks.
Key Responsibilities
- Collect, clean, and transform data from various sources to support analytical projects.
- Perform exploratory data analysis to uncover trends, patterns, and anomalies.
- Develop and maintain MIS and adβhoc reports using Microsoft Excel and Power BI.
- Write efficient SQL queries to extract and manipulate data from relational databases.
- Create basic visualizations and interactive dashboards for business users.
- Validate data accuracy and resolve inconsistencies in collaboration with data engineers.
- Document data pipelines, reporting logic, and standard operating procedures.
- Support senior analysts in preparing presentationβready insights for decisionβmakers.
- Participate in crossβfunctional meetings to understand business requirements and translate them into analytical solutions.
- Continuously improve data quality processes and suggest automation opportunities.
Tech Stack: Microsoft Excel, SQL, Power BI, Python (basic), data cleaning tools, and versionβcontrolled notebooks.
Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Manager within 2β4 years, depending on skill acquisition and project impact. The company encourages certifications in Tableau, AWS, and advanced analytics, which are supported financially.
Why Join: Golden Management Services offers a vibrant learning environment, exposure to realβworld client projects, and a clear career trajectory. The hybrid model ensures a balanced workβlife experience, while the supportive culture fosters mentorship and peer learning. If you are eager to build a solid foundation in data analytics and grow with a forwardβthinking firm, this role is an excellent launchpad.
Eligibility & process
Who can apply
Bachelor's degree in any discipline (Engineering, Science, Commerce, Arts) with minimum 60% aggregate; recent graduates or finalβyear students (2024β2025 batch) eligible; no active backlogs at the time of joining; basic knowledge of Microsoft Excel and data analysis concepts; familiarity with SQL, Power BI, or Python is a plus; strong analytical, logicalβthinking, and communication skills.
Skills & stack
Selection process
- Round 1: Online Aptitude Test (logical reasoning, quantitative, verbal)
- Round 2: Technical Interview (Excel functions, SQL queries, basic Python/PBI concepts)
- Round 3: HR Interview (fitment, communication, career aspirations)
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 Golden Management Services's market reputation, recent tech innovations, and how your skills in Microsoft Excel 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.