11+ Data management Jobs in Ahmedabad | Data management Job openings in Ahmedabad

Job Title: Senior MIS Executive

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

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

improvement 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

● Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)

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

● Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema

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

integrations, workflow optimization

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

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 improvement 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
• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)
• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema
• Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

Responsibilities:

• Conduct Market Research
• Lead Generation
• Email Marketing
• LinkedIn Outreach
• Data Management

Role Description:

This is a full-time on-site role for a Data Entry Executive located in Ahmedabad. The Data Entry Executive will be responsible for entering, updating, and maintaining data into various systems with a high level of accuracy and attention to detail. Daily tasks will include verifying data, identifying and correcting errors, and ensuring data security.

Mandate Skills and Responsibilities:

- Excellent typing abilities with good typing speed of above 30WPM

- Excellent time management and multitasking abilities.

- Proficiency in data capturing and office management software such as MS Office

- The ability to manage and process high volumes of data accurately.

- Keen eye for detail and the ability to concentrate for extended periods.

- Excellent verbal and written communication skills.

Job Specification:

- Location: Ahmedabad

- Work Shift: 8:00pm to 4:30am IST Tuesday to Saturday; Night Shift.

- Qualification: Bachelor's degree

- Employment Status: Full Time, Work From Office

Who we are:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions

Kanerika has won several awards over the years, including:

CMMI Level 3 Appraised in 2024.

Best Place to Work 2022 & 2023 by Great Place to Work®.

Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

NASSCOM Emerge 50 Award in 2014.

Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.

Recognized for ISO 27701, 27001, SOC2, and GDPR compliances.

Featured as Top Data Analytics Services Provider by GoodFirms.

Working for us

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

Locations

We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Required Qualifications:

- 15+ years in data governance and management.

- Expertise in Microsoft Purview, Informatica, and related platforms.

- Experience leading end-to-end governance initiatives.

- Strong understanding of metadata, lineage, policy management, and compliance regulations.

- Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture.

- Familiar with Agile methodologies and stakeholder communication.

What You Will Do:

As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include:

1. Strategy, Framework, and Governance Operating Model

- Develop and maintain enterprise-wide data governance strategies, standards, and policies.

- Align governance practices with business goals like regulatory compliance and analytics readiness.

- Define roles and responsibilities within the governance operating model.

- Drive governance maturity assessments and lead change management initiatives.

2. Stakeholder Alignment & Organizational Enablement

- Collaborate across IT, legal, business, and compliance teams to align governance priorities.

- Define stewardship models and create enablement, training, and communication programs.

- Conduct onboarding sessions and workshops to promote governance awareness.

3. Architecture Design for Data Governance Platforms

- Design scalable and modular data governance architecture.

- Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica.

- Ensure integration with metadata, privacy, quality, and policy systems.

4. Microsoft Purview Solution Architecture

- Lead end-to-end implementation and management of Microsoft Purview.

- Configure RBAC, collections, metadata scanning, business glossary, and classification rules.

- Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards.

5. Metadata, Lineage & Glossary Management

- Architect metadata repositories and ingestion workflows.

- Ensure end-to-end lineage (ADF → Synapse → Power BI).

- Define governance over business glossary and approval workflows.

6. Data Classification, Access & Policy Management

- Define and enforce rules for data classification, access, retention, and sharing.

- Align with GDPR, HIPAA, CCPA, SOX regulations.

- Use Microsoft Purview and MIP for policy enforcement automation.

7. Data Quality Governance

- Define KPIs, validation rules, and remediation workflows for enterprise data quality.

- Design scalable quality frameworks integrated into data pipelines.

8. Compliance, Risk, and Audit Oversight

- Identify risks and define standards for compliance reporting and audits.

- Configure usage analytics, alerts, and dashboards for policy enforcement.

9. Automation & Integration

- Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs.

- Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms.

Who we are :

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

What You Will Do :

As a Data Governance Developer at Kanerika, you will be responsible for building and managing metadata, lineage, and compliance frameworks across the organizations data ecosystem.

Required Qualifications :

- 4 to 6 years of experience in data governance or data management.

- Strong experience in Microsoft Purview and Informatica governance tools.

- Proficient in tracking and visualizing data lineage across systems.

- Familiar with Azure Data Factory, Talend, dbt, and other integration tools.

- Understanding of data regulations : GDPR, CCPA, SOX, HIPAA.

- Ability to translate technical data governance concepts for business stakeholders.

Tools & Technologies :

- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog

- Experience in Microsoft Purview areas :

1. Label creation and policy management

2. Publish/Auto-labeling

3. Data Loss Prevention & Compliance handling

4. Compliance Manager, Communication Compliance, Insider Risk Management

5. Records Management, Unified Catalog, Information Barriers

6. eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit

7. DSPM, Data Policy

Key Responsibilities :

- Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC).

- Integrate Purview with data sources : Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.

- Schedule and monitor metadata scanning and classification jobs.

- Implement and maintain collection hierarchies aligned with data ownership.

- Design metadata ingestion workflows for technical, business, and operational metadata.

- Enrich data assets with business context : descriptions, glossary terms, tags.

- Synchronize metadata across tools using REST APIs, PowerShell, or ADF.

- Validate end-to-end lineage for datasets and reports (ADF ? Synapse ? Power BI).

- Resolve lineage gaps or failures using mapping corrections or scripts.

- Perform impact analysis to support downstream data consumers.

- Create custom classification rules for sensitive data (PII, PCI, PHI).

- Apply and manage Microsoft Purview sensitivity labels and policies.

- Integrate with Microsoft Information Protection (MIP) for DLP.

- Manage business glossary in collaboration with domain owners and stewards.

- Implement approval workflows and term governance.

- Conduct audits for glossary and metadata quality and consistency.

- Automate Purview operations using :

- PowerShell, Azure Functions, Logic Apps, REST APIs

- Build pipelines for dynamic source registration and scanning.

- Automate tagging, lineage, and glossary term mapping.

- Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.

What You Will Do :

As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance.

Required Qualifications :

- 7+ years of experience in data governance and data management.

- Proficient in Microsoft Purview and Informatica data governance tools.

- Strong in metadata management, lineage mapping, classification, and security.

- Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools.

- Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs.

- Skilled in bridging technical governance with business and compliance goals.

Tools & Technologies :

- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog

- Microsoft Purview capabilities :

1. Label creation & policy setup

2. Auto-labeling & DLP

3. Compliance Manager, Insider Risk, Records & Lifecycle Management

4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM.

Key Responsibilities :

1. Governance Strategy & Stakeholder Alignment :

- Develop and maintain enterprise data governance strategies, policies, and standards.

- Align governance with business goals : compliance, analytics, and decision-making.

- Collaborate across business, IT, legal, and compliance teams for role alignment.

- Drive governance training, awareness, and change management programs.

2. Microsoft Purview Administration & Implementation :

- Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure.

- Optimize Purview setup for large-scale environments (50TB+).

- Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.

- Schedule scans, set classification jobs, and maintain collection hierarchies.

3. Metadata & Lineage Management :

- Design metadata repositories and maintain business glossaries and data dictionaries.

- Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions.

- Ensure lineage mapping (ADF ? Synapse ? Power BI) and impact analysis.

4. Data Classification & Security Governance :

- Define classification rules and sensitivity labels (PII, PCI, PHI).

- Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager.

- Enforce records management, lifecycle policies, and information barriers.

5. Data Quality & Policy Management :

- Define KPIs and dashboards to monitor data quality across domains.

- Collaborate on rule design, remediation workflows, and exception handling.

- Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management.

6. Business Glossary & Stewardship :

- Maintain business glossary with domain owners and stewards in Purview.

- Enforce approval workflows, standard naming, and steward responsibilities.

- Conduct metadata audits for glossary and asset documentation quality.

7. Automation & Integration :

- Automate governance processes using PowerShell, Azure Functions, Logic Apps.

- Create pipelines for ingestion, lineage, glossary updates, tagging.

- Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc.

8. Monitoring, Auditing & Compliance :

- Set up dashboards for audit logs, compliance reporting, metadata coverage.

- Oversee data lifecycle management across its phases.

- Support internal and external audit readiness with proper documentation.

Data Research Analyst (DRA) – Sales

Key Responsibilities:

·        Research and extract relevant business data from various online portals, directories, and platforms.

·        Identify and qualify hot leads that align with our target customer profile.

·        Maintain and update accurate records of leads

·        Work closely with the sales team to ensure smooth lead handover.

·        Continuously monitor lead sources and suggest new opportunities for data gathering.

Requirements:

·        Prior experience in data research, lead generation, or sales support.

·        Able to get the prospect’s email, phone numbers and more.

·        Strong attention to detail and accuracy in data handling.

·        Familiarity with sales portals like LinkedIn, Upwork, Clutch, etc.

·        Good communication skills and ability to understand target market requirements.

Job Responsibility:

* Coordinate with CSMs to complete Pilot sales tracker, QBR Decks, End of pilot Decks

*Monitor Daily Sales volume and alert CSMs of Locations with Low volume counts

*Collaborate with other teammates to extract data figures, data entry (Google Sheets & Google Slides), and monitor key performance indicators (KPIs) to determine business initiatives’ success

*Helping in Minor Integration Changes

*Helping with Tickets and giving support when required

* Basic product knowledge of the software to assist with non-client facing action items 

* Good communication skill preferred           

Lead Generation Specialist

Summary:

As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.

Key Responsibilities:

Lead Identification:

• Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
• Utilize tools and software to gather and organize lead data effectively.
• Develop a deep understanding of our target audience and market segments.

Lead Nurturing:

• Initiate contact with leads through email, phone calls, and other communication methods.
• Engage with leads to understand their needs and challenges.
• Provide relevant information and resources to educate and nurture leads through the sales funnel.

Data Management:

• Maintain accurate and up-to-date records of lead interactions and status in CRM software.
• Segment and categorize leads for personalized outreach.
• Monitor lead data for quality and completeness.

Lead Qualification:

• Assess and qualify leads based on predefined criteria.
• Collaborate with the sales team to ensure seamless handover of qualified leads.
• Schedule appointments and product demonstrations for qualified prospects.

Reporting and Analysis:

• Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
• Analyze data to identify trends and opportunities for optimization.

Qualifications:

·        Bachelor's degree in Marketing, Business, or a related field.

·        Proven experience in lead generation, preferably in a B2B or technology-related industry.

·        Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.

·        Strong communication and interpersonal skills.

·        Self-motivated with the ability to work independently and as part of a team.

·        Excellent organizational and time management skills.

·        Data-driven mindset with a focus on achieving targets and KPIs.