Data Analyst

Orcapod Consulting Services; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Orcapod Consulting Services seeks a Data Lead to steer data strategy, governance, integration, quality, and reporting for a marketing and customer operations transformation.

The role requires leading data workstreams, ensuring data accuracy and accessibility, and collaborating with Marketing, Analytics, and Technology teams to drive dashboards and insights that measure campaign effectiveness.

Qualifications

• Bachelor's degree in data-related field or equivalent.
• 8+ years in data management, analytics, CRM, or marketing tech.
• Experience leading data workstreams in large transformation projects.
• Strong understanding of customer and marketing data ecosystems.
• Experience with governance, master data management, and data quality programs.
• Proven ability to work across business and technology teams.

Responsibilities

• Define and lead data strategy, governance, integration, quality, and reporting workstreams.
• Ensure data accuracy, accessibility, and actionable insights to support objectives.
• Collaborate with Marketing, Analytics, and Tech teams to deliver dashboards and measurements.
• Translate business requirements into data solutions and manage stakeholder expectations.
• Lead data team, manage risks, dependencies, and vendor coordination.

Skills

Data governance

Data modelling

Data quality

SQL & analytics

Dashboards & reporting

Marketing tech ecosystems

CRM & customer data

Education

Bachelor's degree in Data Management / CS / IS / Analytics

Tools

Salesforce

Dynamics 365

Marketo

HubSpot

Marketing Cloud

Job description

Role & responsibilities

The Data Lead will be responsible for leading the data strategy, governance, integration, quality, and reporting workstreams for a marketing and customer operations transformation project. This role ensures that innovation, customer, and performance data are accurate, accessible, and actionable to support business objectives, customer engagement, and measurement of program effectiveness. The ideal candidate combines strong data management expertise, consulting skills, and an understanding of marketing processes, marketing workflow tools, CRM platforms, customer data, analytics, and operational execution.

Key Responsibilities

Data Strategy Governance

• - Define and implement the data strategy supporting the program.
• - Establish data governance standards, policies, and processes.
• - Develop data quality frameworks, controls, and monitoring mechanisms.
• - Define ownership, stewardship, and accountability for key marketing data assets.
• - Ensure compliance with data privacy and regulatory requirements.

Data Architecture Integration

• - Lead the design and implementation of data flows across marketing technology platforms.
• - Oversee integration of CRM, marketing automation, customer data platforms (CDP), web analytics, and other relevant systems.
• - Define data models, taxonomy, naming conventions, and metadata standards.
• - Partner with technical teams to ensure scalable and sustainable data architecture.

Data Quality Management

• - Establish processes for data cleansing, deduplication, enrichment, and validation.
• - Monitor data quality metrics and drive remediation activities.
• - Manage customer, campaign, and marketing performance datasets.
• - Ensure consistency of data definitions across systems and teams.

Reporting Analytics Enablement

• - Define KPIs, measurement frameworks, and reporting requirements.
• - Enable accurate and timely reporting for performance and operational metrics.
• - Collaborate with analytics teams to support dashboards, insights generation, and campaign measurement.
• - Ensure availability of trusted data for decision-making.

Stakeholder Management

• - Work closely with Marketing, Customer Experience, Technology, Data Engineering, and Analytics teams.
• - Translate business requirements into data solutions.
• - Facilitate workshops and alignment sessions with senior stakeholders.
• - Communicate project progress, risks, dependencies, and recommendations.

Project Leadership

• - Build and lead a data team within the broader initiative.
• - Manage data-related risks, issues, dependencies, and change requests.
• - Coordinate internal teams, vendors, and implementation partners.
• - Support testing, deployment, and post-implementation stabilization activities.

Required Qualifications

• - Bachelor's degree in Data Management, Computer Science, Information Systems, Analytics, Engineering, or related field.
• - 8+ years of experience in data management, analytics, CRM, or marketing technology environments.
• - Experience leading data workstreams in large transformation or marketing operations projects.
• - Strong understanding of customer and marketing data ecosystems.
• - Experience with data governance, master data management, and data quality programs.
• - Proven ability to work across business and technology teams.

Preferred Experience

• - Experience with CRM platforms such as Salesforce or Microsoft Dynamics 365.
• - Experience with marketing automation platforms such as Adobe Marketo Engage, HubSpot, or Salesforce Marketing Cloud.
• - Familiarity with customer data platforms, web analytics, and campaign measurement tools.
• - Experience working with cloud data platforms and modern data architectures.
• - Knowledge of privacy regulations and consent management practices.

Key Skills

Technical Skills

• - Data governance and stewardship
• - Data modelling and architecture
• - Data quality management
• - SQL and data analysis
• - Dashboard and reporting solutions
• - Marketing technology ecosystems
• - CRM and customer data management

Leadership Skills

• - Stakeholder management
• - Cross-functional collaboration
• - Project and program leadership
• - Problem solving and decision making
• - Communication and executive reporting
• - Change management

Success Measures

• - Improvement in marketing data quality and completeness.
• - Successful integration of marketing and customer data sources.
• - Timely delivery of data-related project milestones.
• - Adoption of data governance standards across teams.
• - Increased trust and usability of marketing reporting and insights.
• - Reduction in manual effort associated with marketing data management.