IT Manager - Analytics at Leading Ecommerce Electronics Company · Bengaluru (Bangalore) · 5 - 8 years · Posted 16 Dec 2022
Data Science
Data AnalyticsOur client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.
Responsibilities -
• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision
• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner
• Hold the analytics program together
• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.
• Play a key role in transforming the company into an intelligent enterprise.
• Deliver analytics use cases that directly contributes to our top-line growth
• Be responsible for overall data hygiene, governance, monitoring of data pipelines and
continuously delivering business value through data
Requirements -
• 5 - 7 years experience in a similar role
• Bachelor’s degree in computer science/ analytics
• Master’s degree (business administration/equivalent) with a focus on Analytics, data science
• Good verbal and written communication skills
• Good networking skills
• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Data AnalyticsJob 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
Data AnalyticsAbout 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
PythonStrong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets
2
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.
3
Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis
4
Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.
5
Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows
6
Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation
7
Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.
8
Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.
9
Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture
10
Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.
11
Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.
12
Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
13
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)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon