Data Analytics - Datorama

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

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Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

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Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

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Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

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Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

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Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

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Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

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Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

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Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

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Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

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Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

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Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

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Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Job Description: Performance Marketing Analyst – Junior

Job Overview:

We are looking for a Junior Performance Marketing Analyst who is interested in digital advertising, data analysis, and campaign performance.

The candidate will support the performance marketing team in monitoring campaigns, analyzing key metrics, identifying performance gaps, conducting market research, and providing data-driven insights to improve leads, conversions, sales, and ROAS.

This role is ideal for someone who has a basic understanding of Meta Ads, Google Ads, social media advertising, and digital marketing metrics and wants to build a career in performance marketing.

Key Responsibilities:

• Monitor daily performance of Meta Ads, Google Ads, Instagram, Facebook, and other paid marketing campaigns.
• Track important performance metrics including:

1- CTR

2- CPC

3- CPM

4- CPA

5- CPL

6- Conversion Rate

7- ROAS

8- CAC

9- Impressions & Reach

10- Engagement

11- Add-to-Cart

12- Checkout

13- Sales & Revenue

• Prepare daily, weekly, and monthly campaign performance reports.
• Identify campaigns, ad sets, audiences, and creatives that are performing well or underperforming.
• Assist in understanding why campaigns are not generating expected leads or sales.
• Analyze audience, demographic, location, placement, and creative-level performance.
• Conduct competitor and market research to understand advertising trends, offers, creatives, and customer behavior.
• Compare campaign performance against previous results and identify areas of improvement.
• Support the team in A/B testing different creatives, audiences, ad copies, and campaign strategies.
• Provide basic data-backed recommendations on what should be continued, stopped, or tested.
• Work closely with the Performance Marketing, Creative, and Strategy teams.
• Keep track of social media and digital advertising trends and platform updates.

Required Skills:

• 0–1 years of experience in Performance Marketing, Digital Marketing, Marketing Analytics, or a related field.
• Basic understanding of Meta Ads and Google Ads.
• Understanding of digital marketing and advertising metrics.
• Good knowledge of Excel/Google Sheets.
• Basic understanding of conversion funnels and customer journeys.
• Good analytical and problem-solving skills.
• Strong research and attention-to-detail skills.
• Good communication skills.
• Willingness to learn and work with data.
• Ability to identify patterns and convert data into simple, actionable insights.

Role Overview

We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.

Key Responsibilities

• Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
• Build and maintain data models to support business processes, reporting needs, and integration workflows.
• Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
• Work closely with cross-functional teams to gather data requirements and understand business logic.
• Develop and execute integration test plans, including functional, data validation, and regression testing.
• Support data migration activities, including extraction, transformation, and loading (ETL).
• Monitor and troubleshoot integration issues, ensuring timely resolution.
• Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
• Ensure integration security, data integrity, and compliance with organizational standards.

Required Skills & Qualifications

• 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Hands-on experience with data mapping, data modelling, and database schema design.
• Proficiency in SQL (complex joins, stored procedures, performance tuning).
• Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
• Strong analytical and problem-solving skills.
• Experience with API-based integrations (REST/SOAP) is a plus.
• Familiarity with testing methodologies for integrations and data validation.
• Ability to work with business users, understand workflows, and translate requirements into technical solutions.

Preferred Qualifications

• Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
• Knowledge of JSON, XML, CSV transformation.
• Exposure to scripting languages (Python, Shell).
• Experience in Agile/Scrum environments.
• Prior involvement in ERP implementation or upgrade projects.

Competencies

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

We are looking for a Lead – Information Systems who can combine strong Salesforce/CRM expertise, advanced Excel skills, MIS reporting and business analytics to support data-driven decision-making.

🔹 What We’re Looking For

• Minimum 4 years of hands-on experience with CRM systems, preferably Salesforce

• Minimum 3 years of practical Salesforce experience preferred

• Advanced proficiency in Microsoft Excel, including:

Advanced formulas, Pivot Tables, Power Query, Data analysis, Automation

• Strong experience in MIS reporting, data validation, analysis and presentation of insights

• Proven experience creating and maintaining dashboards, KPI reports and management reports

• Good technical aptitude with the ability to understand business processes and convert them into effective reporting solutions

• Basic to intermediate understanding of finance and business metrics, including revenue, costs, budgeting and financial reporting concepts

• Strong analytical and problem-solving skills

• Excellent stakeholder management and communication skills

• Ability to work independently and convert data into actionable business insights

🔹 Key Responsibilities

• Manage and analyze data from Salesforce/CRM and other business systems

• Develop and maintain MIS reports, dashboards and KPI trackers

• Ensure data accuracy, validation and consistency across reports

• Analyze business data and identify trends, gaps and opportunities

• Translate business requirements into meaningful reports and dashboards

• Work closely with business and functional stakeholders to understand reporting requirements

• Support management with timely and accurate business insights and performance reports

• Identify opportunities to improve reporting processes through Excel, Power Query and automation

• Support CRM-related reporting and process improvements

🎯 Ideal Candidate

Someone who is comfortable working at the intersection of CRM + MIS + Excel + Business Analytics, and can go beyond preparing reports to explain what the data means and what action the business should take.