Data Analyst

Job Title: Data Intern

Company: Honeybee Digital

Location: Remote

Internship Duration: 3 Months

Job Type: Internship

Working Hours

• Full-time: 9:00 AM – 6:00 PM
• Part-time: 9:00 AM – 1:00 PM / 1:00 PM – 6:00 PM

About the Role

We are looking for a detail-oriented and analytical Data Intern who is eager to work with data and gain hands-on experience in data management, analysis, and reporting. This role is ideal for candidates interested in building a career in data analysis, business intelligence, or data science.

Key Responsibilities

• Collect, organize, and maintain data from various sources
• Clean and preprocess data to ensure accuracy and consistency
• Assist in data analysis and generate basic insights
• Create reports and dashboards using tools like Excel or Google Sheets
• Support teams with data requirements for marketing, operations, and business decisions
• Perform data entry and validation tasks
• Identify patterns, trends, and anomalies in datasets
• Maintain proper documentation of data processes

Requirements

• Basic knowledge of Excel / Google Sheets
• Understanding of data handling and analysis concepts
• Attention to detail and accuracy
• Basic problem-solving and analytical thinking skills
• Familiarity with tools like Python, SQL (optional but preferred)
• Ability to manage tasks and meet deadlines
• Willingness to learn and work with data

Skills You Will Gain

• Hands-on experience in data collection, cleaning, and analysis
• Exposure to real-world datasets and reporting
• Practical knowledge of Excel, data visualization, and analytics tools
• Understanding of business decision-making using data
• Experience working in a professional environment

Who Can Apply

• Students pursuing Data Science, Computer Science, IT, Statistics, or related fields
• Freshers interested in data analysis and data-related roles
• Candidates looking to gain practical experience in data handling and analytics

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

• Design, build, and maintain dashboards and recurring reports across business functions
• Write and optimize SQL queries to extract, join, and transform data from multiple sources
• Run ad-hoc and deep-dive analyses to answer specific business questions
• Define, document, and standardize metrics and KPIs alongside stakeholders
• Investigate data-quality issues and ensure the numbers people see are accurate
• Translate analysis into clear recommendations and present them to non-technical audiences
• Support experimentation and A/B test analysis where relevant
• Automate repetitive reporting to free up time for higher-value analysis

Requirements

• 3+ years in a data analyst or business-intelligence role
• Strong SQL and hands-on experience with Power BI and/or Tableau
• Working knowledge of Python (pandas/numpy) for analysis
• Solid grounding in statistics and analytical methods
• Advanced Excel and strong data-visualization / storytelling skills
• Ability to work independently with stakeholders across functions

Nice to have

• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Exposure to dbt or other ETL/transformation tooling

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/

About AbleCredit

Anyone can build an AI demo. Building AI systems that are reliable, observable, secure, and trusted by enterprise customers is an entirely different challenge.

At AbleCredit, we're building an execution platform that combines AI models, APIs, business rules, human decisions, and enterprise systems into production workflows. Every workflow needs to be fast, resilient, auditable, and easy to extend. We’re solving hard problems- come join us while we build this rocketship.

The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IITB, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain).

About the Role

AbleCredit is looking for a detail-oriented RevOps Analyst to help scale the systems, data, and processes that power our go-to-market engine. You will sit at the intersection of Sales, Customer Success, Marketing, and Product, ensuring that our CRM, pipeline data, and reporting infrastructure give leadership a single, reliable view of the revenue funnel — from first outreach to bank and NBFC clients, through to renewal and expansion.

This is a high-visibility role for someone who enjoys working with data, is comfortable navigating ambiguity in a fast-growing startup, and wants to build the operational backbone of a GenAI platform that serves India's lending ecosystem.

Key Responsibilities

• Own the day-to-day administration of HubSpot, including data hygiene, deduplication, field mapping, pipeline stage governance, and user access management.

• Consolidate, clean, and standardize data arriving as files from multiple sources (e.g., partner/lender exports, internal team trackers) and reconcile it with HubSpot to maintain a single source of truth.

• Build and maintain dashboards and reports that track pipeline health, conversion rates, sales cycle length, forecast accuracy, and revenue against targets for the leadership and GTM teams.

• Partner with Sales and Customer Success leaders to support territory planning, account segmentation, quota tracking, and pipeline reviews for AbleCredit's bank and NBFC customers.

• Document and continuously improve lead-to-cash processes — lead routing, lead scoring, deal desk approvals, contracting, and handoffs between Sales, Onboarding, and Customer Success.

• Analyze funnel performance and customer data to surface trends, bottlenecks, and opportunities, and translate findings into clear, actionable recommendations for stakeholders.

• Support monthly/quarterly revenue forecasting and business reviews by consolidating data from CRM, finance, and product usage sources.

• Evaluate, implement, and maintain the broader RevOps tool stack (CRM, sales engagement, BI/reporting, contract management) and manage integrations between these systems.

• Act as a cross-functional point of contact for data requests, ad hoc analyses, and process troubleshooting from Sales, Marketing, Customer Success, and Finance.

• Maintain data accuracy and compliance standards appropriate for a platform operating in the regulated BFSI (banking, financial services, and insurance) space.

What Are We Looking For?

• Bachelor's degree in Business, Economics, Engineering, Statistics, or a related field.

• 4+ years of experience in RevOps, Sales Operations, or a related function; prior experience at a B2B SaaS, fintech, or BFSI-facing company is a plus.

• Strong proficiency in Excel/ Google Sheets; working knowledge of SQL and comfort querying and interpreting large datasets.

• Hands-on experience with HubSpot and BI/ visualization tools (e.g., Looker, Power BI, Tableau, or Metabase).

• Sharp analytical and problem-solving skills, with the ability to translate raw data into clear business insights.

• Excellent communication skills and the ability to work cross functionally with Sales, Marketing, Customer Success, Finance, and Product teams.

• High attention to detail, strong process orientation, and comfort operating with ambiguity in a fast-paced startup environment.

Good to Have

• Exposure to enterprise or B2B sales cycles involving banks, NBFCs, or other regulated financial institutions.

• Familiarity with sales engagement, contract/ CPQ, or customer success platforms.

• Basic scripting or automation skills (e.g., Python, Google Apps Script) for reporting workflows.

• Prior experience supporting forecasting, quota-setting, or compensation processes.

Why Join AbleCredit?

You'll join a fast-moving team building GenAI-powered infrastructure for one of India's most consequential industries — lending. You'll have direct visibility into how the business runs end-to-end, ownership over the systems and data that leadership relies on daily, and the opportunity to shape RevOps practices as the company scales.

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.

The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.

Key Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, anomalies, and business opportunities from data.
• Create dashboards, reports, and visualizations for business teams.
• Track and report key performance indicators (KPIs).
• Perform ad-hoc analysis to support business and management decisions.
• Develop and maintain automated reports where possible.
• Work with stakeholders to understand reporting and analytical requirements.
• Ensure data accuracy, consistency, and quality.
• Present analytical findings in a clear and actionable manner.
• Maintain documentation for reports, dashboards, and data processes.