Data and Insights Manager Job Description: Complete Guide for 2025
What Is a Data and Insights Manager?
A Data and Insights Manager is a strategic professional who transforms raw data into actionable business intelligence. This role sits at the intersection of analytics, strategy, and business leadership, requiring both technical expertise and the ability to communicate complex findings to non-technical stakeholders. As organizations increasingly rely on data-driven decision-making, Data and Insights Managers have become essential players in shaping business strategy and driving growth.
Core Responsibilities
Strategic Analysis and Reporting
- Develop analytical frameworks to measure business performance and identify growth opportunities
- Create comprehensive dashboards and reports that track key performance indicators (KPIs)
- Conduct market research and competitive analysis to inform strategic planning
- Present insights and recommendations to senior leadership and cross-functional teams
- Monitor industry trends and translate them into actionable business strategies
Data Management and Governance
- Oversee data collection processes and ensure data quality and integrity
- Establish data governance policies and best practices across the organization
- Manage data infrastructure including databases, analytics platforms, and visualization tools
- Ensure compliance with data privacy regulations (GDPR, PDPA, CCPA)
- Implement data security measures to protect sensitive information
Team Leadership and Collaboration
- Lead and mentor a team of data analysts and researchers
- Collaborate with stakeholders across marketing, product, sales, and operations
- Partner with IT teams to implement analytics solutions
- Train business users on data tools and self-service analytics
- Foster a data-driven culture throughout the organization
Research and Testing
- Design and execute research studies including surveys, focus groups, and user testing
- Conduct A/B testing and experimentation to optimize business outcomes
- Utilize advanced research methodologies including conjoint analysis and other survey research tools (platforms like Conjointly provide sophisticated solutions for market research and product testing)
- Analyze customer behavior patterns and segment audiences for targeted strategies
Required Skills and Qualifications
Technical Skills
- Advanced proficiency in analytics tools: SQL, Python, R, or similar programming languages
- Data visualization expertise: Tableau, Power BI, Looker, or similar platforms
- Statistical analysis knowledge: Regression analysis, hypothesis testing, predictive modeling
- Database management: Experience with relational databases and data warehousing
- Marketing analytics tools: Google Analytics, Adobe Analytics, or similar platforms
- Survey and research platforms: Familiarity with tools like Conjointly, Qualtrics, or SurveyMonkey
Business Skills
- Strategic thinking: Ability to connect data insights to business objectives
- Stakeholder management: Experience presenting to C-level executives
- Project management: Proven track record of delivering complex projects on time
- Business acumen: Understanding of marketing, finance, and operations principles
- Problem-solving: Analytical approach to identifying and resolving business challenges
Soft Skills
- Communication: Exceptional ability to explain complex data to non-technical audiences
- Leadership: Experience managing and developing high-performing teams
- Collaboration: Strong interpersonal skills for cross-functional work
- Adaptability: Comfortable working in fast-paced, evolving environments
- Curiosity: Natural inclination to ask questions and explore data patterns
Educational Background
Most Data and Insights Manager positions require:
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related field (required)
- Master’s degree in Data Science, Business Analytics, or MBA (preferred)
- 5-8 years of experience in data analytics, business intelligence, or related roles
- 2-3 years of management experience leading analytics or insights teams
- Relevant certifications: Google Analytics, AWS Certified Data Analytics, or similar credentials (advantageous)
Salary Expectations by Market and Seniority
Salary ranges vary significantly based on location, industry, company size, and individual experience. Below are typical annual compensation ranges:
| Market | Junior/Mid-Level | Senior | Lead/Principal |
|---|---|---|---|
| Singapore (SGD) | $80,000 - $110,000 | $110,000 - $150,000 | $150,000 - $200,000+ |
| United States (USD) | $95,000 - $130,000 | $130,000 - $180,000 | $180,000 - $250,000+ |
| Canada (CAD) | $85,000 - $115,000 | $115,000 - $155,000 | $155,000 - $210,000+ |
| Australia (AUD) | $100,000 - $135,000 | $135,000 - $175,000 | $175,000 - $230,000+ |
| Philippines (PHP) | ₱1,200,000 - ₱1,800,000 | ₱1,800,000 - ₱2,800,000 | ₱2,800,000 - ₱4,000,000+ |
| Thailand (THB) | ฿1,400,000 - ฿2,000,000 | ฿2,000,000 - ฿3,000,000 | ฿3,000,000 - ฿4,500,000+ |
| United Kingdom (GBP) | £55,000 - £75,000 | £75,000 - £100,000 | £100,000 - £140,000+ |
| Germany (EUR) | €60,000 - €85,000 | €85,000 - €115,000 | €115,000 - €155,000+ |
| France (EUR) | €55,000 - €75,000 | €75,000 - €100,000 | €100,000 - €140,000+ |
| Netherlands (EUR) | €60,000 - €80,000 | €80,000 - €110,000 | €110,000 - €150,000+ |
Note: Compensation often includes bonuses, stock options, and other benefits that can add 10-30% to base salary.
Career Path and Progression
The Data and Insights Manager role typically fits within this career trajectory:
- Data Analyst → Senior Data Analyst
- Insights Manager or Analytics Manager
- Senior Insights Manager or Head of Analytics
- Director of Data and Insights or VP of Analytics
- Chief Data Officer (CDO) or Chief Analytics Officer (CAO)
Industry Variations
The role varies slightly across industries:
- Technology/SaaS: Focus on product analytics, user behavior, and growth metrics
- Retail/E-commerce: Emphasis on customer analytics, conversion optimization, and merchandising insights
- Financial Services: Concentration on risk analytics, customer lifetime value, and regulatory reporting
- Healthcare: Focus on patient outcomes, operational efficiency, and clinical research
- FMCG/CPG: Emphasis on market research, brand tracking, and consumer insights
How to Stand Out as a Candidate
- Build a portfolio: Showcase data projects and case studies demonstrating business impact
- Stay current: Keep up with emerging tools and methodologies in analytics and AI
- Develop domain expertise: Specialize in an industry or analytics area (customer analytics, marketing analytics, etc.)
- Earn certifications: Pursue relevant credentials in analytics platforms and methodologies
- Network actively: Engage with the data science and analytics community through conferences and online forums
Conclusion
The Data and Insights Manager role is both challenging and rewarding, offering the opportunity to directly influence business strategy through data-driven insights. As organizations continue to prioritize analytics capabilities, demand for skilled professionals in this field remains strong across all markets. Whether you’re aspiring to enter this role or hiring for one, understanding the comprehensive scope of responsibilities, required skills, and market expectations is essential for success.
For those looking to transition into this role, focus on building both technical analytics skills and business acumen, while developing the communication abilities necessary to bridge the gap between data and decision-makers.