242 Data Analysts jobs in Faridabad

Company Description

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Role Description

This is a full-time on-site/Remote role for a Data Analyst located in New Delhi. The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to identify trends and patterns. Day-to-day tasks include creating data models, generating reports, and providing actionable insights to support business decision-making. Strong collaboration and communication skills are essential for working with various departments to understand their data needs and deliver accurate analytical solutions.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills for effectively conveying insights
• Proficiency in analytical software such as SQL, R, or Python
• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
• Experience in the industry is a plus
• Upto 12 LPA

About Adeptmind:

Our platform helps online retailers bridge the gap between online and offline conversion rates. A

bad search means a bad customer experience. Our technology uses deep learning and natural

language processing to eliminate the “no results found” problem and show your customers what

they want when they want it. Our results speak for themselves. No fancy jargon, just 100%

accuracy every time.

Search should be intuitive and intelligent, rather than a barrier for online stores and

customers. We have the tools. Let’s make it happen.

Company Link-

Position Overview:

We’re seeking a data-driven professional with 2+ years of experience who excels at transforming complex data into clear, actionable insights. In this role, you’ll collaborate closely with engineering and cross-functional teams to design and deliver scalable analytics solutions.

Key Responsibilities:

• Analyze large and complex datasets to uncover insights that drive business strategy and operational efficiency.
• Build and optimize queries, dashboards, and reports using modern analytics tools.
• Collaborate with engineering and product teams to design data models and ensure data accuracy and consistency.
• Translate technical findings into clear, actionable recommendations for non-technical stakeholders.
• Stay current with emerging analytics tools, techniques, and best practices.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
• 4+ years of professional experience in data analysis, business intelligence, or analytics.
• Strong proficiency in SQL and experience building complex queries.
• Strong proficiency in GA4, GTM, and Google Search Console
• Hands-on experience with Python for data analysis (Pandas, NumPy, etc.).
• Solid understanding of data visualization tools (e.g., Power BI, Tableau, Looker).
• Familiarity with statistical analysis, data warehousing (ie Snowflake), and ETL processes.
• Excellent communication skills and the ability to present data-driven insights clearly.
• Comfortable working independently in a remote environment and collaborating across global teams.
• Knowledge of SEO tools e.g SEMrush
• This role requires working in EST hours (6:30 PM – 3:30 AM IST) to ensure smooth collaboration with our Global team.

Why Join Us:

• Work on impactful projects that directly influence business strategy.
• Collaborate with a dynamic global team passionate about data and innovation.
• Opportunity to grow in a fast-paced, learning-oriented environment.

Company Description

Unotech Global is dedicated to solving real-world problems through innovative AI-driven solutions. Our company specializes in Artificial Intelligence applications across various fields, including IoT, E-Commerce, Digital Media, Business Intelligence, Marketing & Advertising, and Customer Service. We serve clients ranging from businesses to governments worldwide.

Job Title: Data Analyst ( E-Commerce)

Location: (Remote)

Type: Contract

Experience: 4-6 years

About the Role

As an eCommerce Data Analyst , you'll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You'll work in a dynamic environment where your contributions directly influence the success of our eCommerce business. This role offers growth potential, the chance to work with a driven and collaborative team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the center of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Key Responsibilities

• Data Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
• Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
• A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
• Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
• Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
• Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
• Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.
• Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data)

Required Skills & Qualifications

• Educational Background: Bachelor’s degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
• Experience: 2+ years of experience in data analysis within eCommerce (4-6 years of overall experience)
• Technical Skills: Proficiency in data analysis tools and software:
• SQL
• Advanced Excel
• Tableau or similar 
• Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices. 
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
• Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
• Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.

Nice to have: 

• Experience with eCommerce platforms (e.g., Magento, Shopify, BigCommerce)
• Google Analytics experience

Certifications: Relevant certifications in data analytics or digital marketing are advantageous. 

Programming: Experience with programming languages such as Python or R for data analysis is a plus.

What We Offer

• Remote work flexibility and a strong data-driven culture
• Competitive salary and performance incentives

How to Apply:

Please submit your resume and portfolio (via Linkedin or email).

You may email your most recent Resume' at

We are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success.

Responsibilities:

• Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem.
• Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform.
• Work with a range of third-party data providers to integrate their data into Arcana's system.
• Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs.
• Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements.
• Analyze and implement solutions to improve data operations and pipeline efficiency.
• Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business.
• Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data.

Requirements:

• GPA of 8.0+
• Data analysis experience with exposure to finance and investment management.
• Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams.
• Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers.
• Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation.
• A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry.
• Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred.

Job Title: Salesforce Data Analyst

Exp-5-8 Years

Location-Remote

Job Summary:

The Salesforce Data Analyst is a bridge between raw data and business insight. This role is responsible for ensuring data integrity, transforming data into actionable reports and dashboards, and empowering stakeholders to make data-driven decisions. The focus is on using data to answer business questions and drive efficiency.

Key Responsibilities:

• Data Governance & Quality:
• Monitor and maintain data quality, hygiene, and completeness within Salesforce.
• Develop and enforce data standards, validation rules, and duplicate management processes.
• Perform regular data audits and lead data cleansing initiatives.
• Reporting & Dashboarding:
• Design, build, and maintain complex reports, dashboards, and report folders in Salesforce.
• Translate business requirements from stakeholders (Sales, Marketing, Service) into technical reporting specifications.
• Empower business users with self-service reporting capabilities through training and documentation.
• Business Analysis & Insight:
• Analyze data trends to provide insights on sales performance, pipeline health, marketing campaign ROI, and customer support metrics.
• Support strategic planning by providing data-backed recommendations.
• Document business processes and data flows.
• Support & Collaboration:
• Act as a primary point of contact for ad-hoc data and reporting requests.
• Collaborate with Salesforce Administrators and Developers to communicate business needs for new fields, objects, or automation.

Required Skills & Qualifications:

• Experience: 4+ years of experience as a Data Analyst, Sales Operations Analyst, or similar role, with a primary focus on Salesforce.
• Technical Skills:
• Expert-level proficiency in Salesforce Reports & Dashboards .
• Strong skills in Excel/Google Sheets (PivotTables, VLOOKUPs, Charts).
• Solid understanding of the Salesforce data model (Standard Objects like Account, Contact, Opportunity, Lead; and their relationships).
• Basic understanding of Salesforce security (Profiles, Permission Sets, Roles, Sharing Rules) as it pertains to data access in reports.
• Soft Skills:
• Excellent communication and storytelling skills to explain data findings to non-technical audiences.
• Strong analytical and problem-solving mindset.
• Meticulous attention to detail.

Nice-to-Have Skills:

• Experience with Tableau , Power BI , or Einstein Analytics .
• Familiarity with a data manipulation language (e.g., SQL ).
• Salesforce certifications like Salesforce Certified Administrator or Tableau CRM & Einstein Discovery Consultant

Join the Mission: Junior ESG Data Analyst (Remote)

Location: Remote | Headquarters: Frankfurt, Germany

Start Date: 1st January 2026

Type: Full-time | Junior Level

Agents for Impact (AfI) is a fast-growing player in the field of impact investing and ESG services , supporting financial institutions around the world-especially in developing and emerging markets-in becoming more sustainable, resilient, and responsible. As we continue to expand our service portfolio and grow our data-driven offerings, we are looking for a Junior ESG Data Analyst to join our dynamic and mission-driven team.

What You’ll Be Working On:

You will support our team in enhancing and digitizing key ESG processes and products. Key responsibilities include:

• Assisting in the automation of Sustainability Rating data reporting process with the help of Microsoft Copilot Studio and PowerAutomate
• Supporting the development of interactive ESG Dashboards in Power BI
• Contributing to the development and rollout of ESG digital products and tools
• Helping to create visually compelling PowerPoint presentations and templates that communicate ESG and sustainability performance to financial market participants and impact investors
• Assisting in the structuring and organization of internal ESG data repository

What We’re Looking For:

• Strong analytical skills and a solid understanding of ESG KPIs (qualitative and quantitative)
• Strong background with automation tools or applications
• Proficiency in MS Excel (Pivot Tables, PowerQuery), Power BI , and working with databases (SQL and non-SQL)
• Passion for sustainability and ESG topics
• Strong attention to detail, curiosity, and a collaborative mindset
• Design and presentation skills (e.g., PowerBI, PowerPoint, Canva) are a plus
• Fluency in English ; knowledge of Russian is an advantage
• Open to candidates with 0–2 years of relevant experience (recent graduates welcome)

Skills Needed:

·   Microsoft Copilot Studio

· PowerBI

·   PowerPoint

·   PowerApp

·   PowerAutomate

·   Microsoft365

·   Advanced Excel skills

·   Database Management System

·   Prompt Engineering

Why Join Us?

• Work remotely with flexible hours in an international and mission-aligned team
• Be part of an innovative and growing company shaping the future of ESG in finance
• Gain exposure to real-world sustainability challenges faced by financial institutions in emerging markets
• Opportunity to grow professionally and contribute to the development of cutting-edge ESG tools and services

Ready to Make an Impact?

We look forward to receiving your application (CV and short motivation) at Kindly put “Application Junior ESG Data Analyst” in the title of your application.

Let’s build a more sustainable financial world together!

Fig Labs is building the Fig Analytics Agent—an AI agentic analyst that monitors business data 24/7, explains what changed and why, and recommends next-best actions. We help organizations move from static dashboards to agentic analytics — systems that think, learn, and act.

We’re hiring a Forward Deployed Data Analyst to work directly with customer data, define metrics trees across domains, and implement them on Snowflake, Databricks, and BigQuery. You’ll also codify agentic analytics best practices (prompts, patterns, and QA) so our agent delivers deep, trustworthy insights.

Design domain-specific metric trees that map business outcomes to drivers and granular KPIs for industries such as:

• Sales & Revenue Operations (forecast, pipeline, attainment)
• Marketing Analytics (funnel efficiency, attribution, engagement)
• Retail Analytics (product availability, store execution, promotions)
• Supply Chain Analytics (inventory turns, order fill rate, forecast bias)

Own end-to-end analytics builds for customers: from source profiling → modeling → metric definitions → validation → visualization → AI-agent prompts.

Implement metrics on modern cloud data platforms (Snowflake, Databricks, BigQuery) using SQL (and dbt or equivalent) with tested, reusable patterns.

Author agentic analytics prompts for the Fig Analytics Agent:

• Few-shot exemplars, tool-use patterns, system/task prompts, safety/guardrails, evaluation criteria, and correction loops.

Create visualization playbooks (chart choices, small-multiples, uncertainty bands, baseline/target overlays) to communicate insights clearly.

Partner with stakeholders (RevOps, Marketing Ops, Merch/Ops, Supply Chain, Finance) to translate questions into analyzable hypotheses and decision-ready outputs.

Harden quality : write QA queries, metric unit tests, anomaly checks, and reconciliation steps (source vs. modeled vs. dashboard).

Expert SQL (window functions, CTEs, semi-structured data, performance tuning) and strong experience on Snowflake, BigQuery and/or Databricks.

Experience with RevOps, marketing analytics, retail analytics, or supply-chain analytics (consulting or forward-deployed roles a plus)

Hands-on with data modeling (star schemas, facts/dimensions, SCDs), semantic layers, and dbt (or similar) best practices.

Proven visualization sense (knowing when to use bars/lines, cohort heatmaps, waterfalls, funnel and Sankey for flow, control charts for stability, prediction intervals).

Comfortable building and validating metrics for:

• Funnel analysis (MQL→SQL→Opportunity→Win)
• Forecasting & reconciliation (weighted pipeline, quota/target alignment, MAPE/WAPE)
• Cohort & retention , RFM/segmentation
• Market Basket Analysis/affinity , ABC/XYZ classification
• Attribution (rules-based, simple MMM/MTA concepts)
• A/B testing basics and lift analysis
• Anomaly detection & outlier triage

Familiarity with agentic/LLM workflows (prompt design, few-shot patterns, retrieval/context packaging, evaluation/guardrails) or strong motivation to learn fast.

Excellent stakeholder communication—turn ambiguous questions into crisp hypotheses, datasets, and decisions.

30 days: Current customer schema profiled; baseline metrics tree drafted for one domain (e.g., Sales) and validated with stakeholders.

60 days: Metrics implemented on a target platform (Snowflake/Databricks/BigQuery) with QA checks; first agentic prompts producing reliable, cite-able analyses.

90 days: Reusable agentic analytics playbook (prompts + SQL patterns + tests + viz guide) shipped; two domains live (e.g., Sales + Marketing) with measurable decision impact.

• Be part of a team shaping the future of autonomous analytics agents .
• Work directly with the founder team on real customer datasets and live demos .
• Ship high-impact analytical content seen by enterprise audiences.
• 100% remote and flexible — output and curiosity matter more than location.

Title - APM Data Integration Analyst

Location - Remote

Timings - 3pm – 11pm IST

APM Data Integration Analyst

This role ensures data integrity, integration, and governance across the APM ecosystem. The Data Integration Analyst will manage application metadata completeness and accuracy, working across Orbus and ServiceNow, integrating with Informatica, and other systems to maintain a single source of truth. They will also help design and enforce data quality rules and cross-references, enabling reliable reporting and decision-making.

Expectations:

• Ensure consistency and accuracy of application metadata in Orbus consistent with ServiceNow.
• Design and implement data governance rules (validation, de-duplication, attribute mapping, normalization).
• Partner with integration teams to establish data pipelines and synchronization (Informatica, EDW, ServiceNow, Orbus, etc.).
• Map application attributes across multiple systems, ensuring cross-referencing accuracy.
• Maintain data lineage and traceability for reporting and audits.
• Gather application usage data and metrics.
• Provide proactive data quality monitoring and monitor dashboards to highlight gaps or issues.
• Document data models, attribute definitions, and mapping rules for transparency and onboarding.

Core Competencies:

• Highly detail-oriented with a passion for data quality.
• Proactive in identifying and resolving gaps and discrepancies.
• Able to balance technical accuracy with business usability.
• Comfortable in a complex, fragmented tool landscape.
• Action Oriented: Proactive in identifying and resolving gaps.
• Problem Solving: Uses rigorous logic and methods to solve difficult problems with effective solutions; probes all fruitful sources for answers; can see hidden problems; is excellent at honest analysis; looks beyond the obvious and doesn't stop at the first answers

Qualifications

• Strong hands-on Orbus experience (data modeling, meta model configuration, attribute management).
• Hands-on ServiceNow SAM/APM experience (application and contract data, integrations).
• Proven track record of Application Portfolio Management activities.
• Experience with data mapping capabilities.
• Experience with Informatica, EDW integration, and Power BI reporting preferred.
• Knowledge of data governance frameworks (DAMA, ISO 8000 preferred).
• Strong documentation and requirements gathering skills.

Education:

Bachelor’s Degree is preferred or experience equal to.

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting