Data Analyst at BitClass · Bengaluru (Bangalore) · 1 - 4 years · ₹8L - ₹16L / yr · Raised funding · Posted 8 Nov 2021
Responsibilities
- Understanding the business requirements so as to formulate the problems to solve and restrict the slice of data to be explored.
- Collecting data from various sources.
- Performing cleansing, processing, and validation on the data subject to analyze, in order to ensure its quality.
- Exploring and visualizing data.
- Performing statistical analysis and experiments to derive business insights.
- Clearly communicating the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations.
Skills
- Experience solving problems in the project’s business domain.
- Experience with data integration from multiple sources
- Proficiency in at least one query language, especially SQL.
- Working experience with NoSQL databases, such as MongoDB and Elasticsearch.
- Working experience with popular statistical and machine learning techniques, such as clustering, linear regression, KNN, decision trees, etc.
- Good scripting skills using Python, R or any other relevant language
- Proficiency in at least one data visualization tool, such as Matplotlib, Plotly, D3.js, ggplot, etc.
- Great communication skills.

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This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.
Work Mode: WORK FROM OFFICE
Role Descriptions:
- Perform detailed data analysis and support business decision-making
- Gather and document business requirements and translate them into technical specifications
- Work closely with stakeholders to define data needs and reporting requirements
- Create user stories, functional specifications, and support UAT activities
- Ensure alignment between business objectives and data solutions
Required Skills:
- Strong expertise in SQL and data querying
- Proven experience in data analysis, requirement gathering, and stakeholder management
- Ability to translate business requirements into technical solutions and user stories
- Good understanding of data models, reporting, and analytics concepts
Skills: Business Analysis~ORACLE SQL
Locations: ~HYDERABAD~PUNE~
Desire candidate
- Candidate should have valid PF.
Key Responsibilities
- Collect, consolidate and manage data from various internal systems, SaaS platforms, CRM/ERP modules, logs, and databases.
- Generate daily, weekly, monthly, and ad-hoc MIS reports and dashboards for operations, sales, finance, customer-support or other relevant teams.
- Use advanced Excel to build, maintain, and manage complex spreadsheets — including pivot tables, VLOOKUP / HLOOKUP / INDEX-MATCH, SUMIF/COUNTIF, conditional formatting, charts/graphs, macros/VBA (if needed) to automate routine reporting tasks.
- Validate and clean data — ensure data integrity, consistency; identify and rectify discrepancies or anomalies.
- Collaborate with cross-functional teams (product, operations, support, finance, sales) to understand their data/reporting needs and deliver appropriate reports/insights.
- Provide ad-hoc data analysis or custom reporting as required by management or US stakeholders.
- Maintain documentation of reporting processes, data definitions/SOPs, report templates, and standard workflows.
- Ensure timely delivery of reports — especially considering night-shift schedule — so that US-based stakeholders receive data at start of their business day.
- Identify opportunities for process improvement and automation to make MIS reporting more efficient and reliable.
Required Skills & Qualifications
- Bachelor’s degree (in IT, Computer Science, Business, Statistics, or related field) or equivalent.
- Proven experience (1–3 years or as per company requirement) in MIS, data reporting/analysis, or similar role.
- Strong proficiency in Microsoft Excel — including advanced formulas/functions (VLOOKUP/HLOOKUP/INDEX-MATCH), pivot tables, charts/graphs, conditional formatting, data cleaning, data validation.
- Ability to build and maintain dashboards/reports; comfortable using Excel for recurring and ad-hoc reports.
- Strong analytical and problem-solving skills; ability to work with large datasets, identify trends, anomalies, and draw insights.
- Good communication skills — ability to coordinate with different teams/stakeholders, understand requirements, and present data/insights clearly.
- Readiness for night-shift work from office; ability to work independently, meet deadlines and manage time effectively.
About Us
Corporate Web Solutions provides technology-driven solutions involving data analysis, automation, web development, and digital transformation.
Role Overview
As a Data Analyst Intern, you'll assist in analyzing datasets, preparing reports, identifying trends, and exploring AI-assisted analytics workflows.
Key Responsibilities
- Collect and organize data.
- Analyze datasets and identify trends.
- Prepare reports and visualizations.
- Work with Excel, spreadsheets, or analytical tools.
- Assist with dashboards and data-driven insights.
- Explore AI tools for data analysis.
Requirements
- Basic understanding of data analysis.
- Familiarity with Excel or Google Sheets.
- Basic knowledge of SQL or Python is a plus.
- Analytical mindset.
- Good attention to detail.
Perks
- Certificate of Internship
- Flexible work hours
- Mentorship and real project exposure
- Potential for PPO
- Letter of Recommendation
- Performance-Based Stipend available up to ₹18,000/month
At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.
About the Role:
We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.
Key Responsibilities:
- Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
- Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
- Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
- Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
- Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
- Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.
Requirements:
- 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
- Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
- Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
- Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
- Ability to collaborate effectively with remote and geographically distributed teams across different time zones.
Company Link: https://www.nineleaps.com/
Company LinkedIn: https://www.linkedin.com/company/nineleaps/
Strong Data Analyst Profile with advanced Excel and SQL expertise
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Mandatory (Experience 1): Must have 4+ years of overall experience as a hands-on Data Analyst
3
Mandatory (Tech skill 1): Must be highly proficient in advanced Excel — complex functions, macros, calculations, and pivots
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Mandatory (Tech skill 2): Must have strong hands-on SQL and a good understanding of relational database concepts
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Mandatory (Tech skill 3): Must be able to automate routine tasks using Python (for automation purposes)
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Mandatory (Skill 1): Must have exceptional analytical, problem-solving, and logical skills, with strong attention to detail and accuracy
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Mandatory (Skill 2): Must be able to understand complex data and business logic and convert it into a model (the role models complex utility tariffs, rates, and programs)
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Mandatory (Communication): Must have strong verbal and written communication, able to work independently with India- and US-based team members and articulate problems and solutions over calls and email.
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Mandatory (Location): Must be based locally in Pune (or the nearby Maharashtra belt — Mumbai, Nagpur), as the final round is in person
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Preferred (Domain): Experience in the Energy/Utility industry and familiarity with basic utility (electrical/gas) tariff concepts






