Research Analyst

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/

What we are looking for

 3–8 years of experience in consumer insights, market research, strategy consulting, social intelligence, cultural insights, or a related research environment.

 Experience independently owning custom research projects—from ambiguous brief through analysis,

synthesis, recommendation, and client presentation.

 Strong qualitative and quantitative reasoning. You can work with both nuance and numbers without

overstating what the data proves.

 Exceptional PowerPoint or Google Slides craft: storyline, executive writing, information hierarchy, charts, visual examples, and disciplined editing.

 A portfolio of client-ready research decks or case studies that demonstrates synthesis and

storytelling—not merely attractive slide design.

 Confident client presence and clear spoken communication, including experience presenting to senior

stakeholders and navigating difficult questions.

 Hands-on fluency with modern AI tools for research and creative production. You know how to

prompt, critique, verify, refine, and combine outputs into work that does not feel machine-generated.

 High ownership, speed, curiosity, and composure in a startup where priorities can move quickly and

important projects can arrive with short timelines.

You will stand out if you have

 Experience in beauty, personal care, food and beverage, nutrition, home care, or another consumer category.

 Agency-side experience managing multiple clients and deadlines without sacrificing quality.

 Experience with social/video intelligence, digital ethnography, online communities, search, reviews, or

creator/influencer data.

 A strong visual instinct and comfort using image-generation or design-assistance tools to make

abstract insights tangible.

 Experience leading or mentoring researchers, even if you have not formally managed a large team.

Strong Data Analyst Profile with advanced Excel and SQL expertise

2

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

4

Mandatory (Tech skill 2): Must have strong hands-on SQL and a good understanding of relational database concepts

5

Mandatory (Tech skill 3): Must be able to automate routine tasks using Python (for automation purposes)

6

Mandatory (Skill 1): Must have exceptional analytical, problem-solving, and logical skills, with strong attention to detail and accuracy

7

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)

8

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.

9

Mandatory (Location): Must be based locally in Pune (or the nearby Maharashtra belt — Mumbai, Nagpur), as the final round is in person

10

Preferred (Domain): Experience in the Energy/Utility industry and familiarity with basic utility (electrical/gas) tariff concepts

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.

A Market Research Manager in the education sector leads data collection and analysis regarding student demographics, program demand, and competitor positioning. They guide academic program development, enrollment growth, and institutional marketing strategies by turning complex educational data into clear action plans.

Key Responsibilities

• Student & Market Analysis: Study enrollment trends, student behaviour, and shifting demands for online, hybrid, or traditional degree programs.
• Competitor Intelligence: Track competitor institutions, tuition pricing models, course offerings, and scholarship incentives.
• Research Design: Build and run qualitative and quantitative studies, including student surveys, focus groups, and alumni feedback loops.
• Data Reporting: Create visual dashboards, reports, and presentations for academic boards, marketing teams, and university leadership.
• Strategic Advising: Guide program development teams on launch viability and optimal target demographics for new courses or certifications.

Required Qualifications

• Education: Bachelor’s degree in Marketing, Statistics, Economics, Business Analytics, or a related field; master’s or MBA preferred.
• Experience: 4 to 6+ years in market research, with prior exposure to the education, EdTech, or non-profit sector.
• Technical Skills: Proficiency in survey tools (Qualtrics, SurveyMonkey) and data analysis software (SPSS, R, Python, or Excel).
• Soft Skills: Strong verbal communication, stakeholder management, and the ability to explain statistics to non-technical academic leaders.

About the Role

Work at the intersection of business and technology, supporting operations, data analysis, automation, and digital tools to improve efficiency and growth. 

 Responsibilities 

• Support business operations using tech tools (Excel, CRM, dashboards)  
• Analyze data and generate insights for decision-making  
• Assist in automation workflows and process improvements  
• Coordinate between tech and business teams  
• Help in implementing digital solutions and tools  

 Skills Required 

• Basic knowledge of Excel / Google Sheets  
• Good analytical and problem-solving skills  
• Understanding of business processes  
• Interest in technology and automation  

 Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO based on performance 

Hiring for Data Analyst

Exp : 5 - 7 yrs

Edu : BE/B.Tech

Work Location : Noida WFO

Skills :

Expertise in SQL Server, including database design, performance tuning, query optimization, and security.

Hands-on experience developing ETL solutions using SSIS, Azure Data Factory (ADF), and Python.

Experience Required: Minimum 8 Years

About the Role:

Key Responsibilities

• Design and manage organization-wide MIS reports, dashboards, and executive reports.
• Develop automated reporting solutions using Python, VBA Macros, Power Query, and Advanced Excel.
• Analyze large datasets and provide business insights to leadership.

Eligibility Criteria

• 5+ years of experience in Business Intelligence, MIS, Business Analytics, or Data Analytics.
• Strong analytical and logical thinking with the ability to understand business requirements and convert data into meaningful business insights.
• Experience in developing dashboards and management reports using any Business Intelligence tool (Power BI, Tableau, Zoho Analytics, etc.).

Apply Now:

https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort

A Technical Research Analyst Assistant can fall under different departments depending on the company's structure. Based on your job description (researching US businesses, gathering client requirements, coordinating with developers/operations, and preparing business documents), the most appropriate categories are:

Primary Department

• Business Development

Alternative Departments

• Business Analysis
• Research & Strategy
• Pre-Sales
• Operations
• Project Management Office (PMO) (if the role is heavily coordination-focused)

Best Job Categories for Job Portals (Indeed, Naukri, LinkedIn)

• Business Development
• Market Research
• Business Analysis
• IT Software – Business Analyst
• Pre-Sales
• Project Coordination

Reporting Structure

Typically reports to:

• Business Development Manager
• Business Analyst
• Project Manager
• Operations Manager

Recommended Category for Your Company

Since the role is focused on finding US businesses, understanding client requirements, coordinating with developers, and preparing business documentation, the best fit is:

Department: Business Development

Function: Technical Research & Business Analysis

Job Title: Technical Research Analyst Assistant – US Process (Night Shift)

This categorization aligns well with ATS systems and job portals while accurately reflecting the responsibilities of the role.

Role Overview 

As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact. 

Key Responsibilities 

Data Science & Machine Learning 

• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.  
• Perform exploratory data analysis (EDA), feature engineering, and data preparation.  
• Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.  
• Apply statistical techniques to solve business problems and validate model performance.  
• Design and execute experiments to improve model accuracy and business outcomes.  

 AI Solution Development 

• Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.  
• Translate business requirements into scalable data science approaches.  
• Contribute to Generative AI and advanced analytics initiatives where applicable.  
• Document methodologies, model performance, and key findings.  

 Required Technical Skills 

• Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.  
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.  
• Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.  
• Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.  
• Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.  
• Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.  
• Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.  
• Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.  
• Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred. 

Preferred Qualifications 

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.  
• 2–4 years of experience developing machine learning or data science solutions.  
• Experience working on end-to-end data science projects in a business environment.  

 Nice to Have 

• Exposure to Generative AI, LLMs, RAG, or Agentic AI.  
• Experience with Computer Vision or Natural Language Processing (NLP).  
• Familiarity with cloud-based AI platforms.  
• Knowledge of construction, engineering, manufacturing, or industrial domains.  
• Participation in hackathons, research, Kaggle competitions, or open-source projects.  

 Soft Skills 

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.