About WhiteCrow
We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client's in-house talent acquisition teams.
About our client
For more than 80 years, our client's engineers and product specialists have partnered with customers to produce highly engineered connectivity and sensing solutions that make a connected world possible. Their focus on reliability, durability, and sustainability exemplifies their commitment to progress. The unmatched range of their product portfolio enables companies, large and small, to turn ideas into technology that can transform how the world works and lives tomorrow.
As a Data Analyst Manager, you will be responsible for...
Core Analytics & Insight Generation:
- Leading advanced analysis across digital behavior, customer engagement, campaign performance, funnel conversion, and eCommerce/POS sales impact.
- Transforming complex datasets into clear insights and recommendations that improve marketing performance, segmentation, and content targeting.
- Conducting market, customer, and competitive analytics to identify opportunities, threats, and whitespace for growth.
- Developing and maintaining data-driven customer segments, ICP models, behavioral profiles, and opportunity sizing frameworks.
Data Products, Measurement & Reporting:
- Owning and continuously optimizing dashboards, analytical models, and reporting tools that enable visibility into performance and ROI.
- Defining and implementing measurement frameworks, attribution logic, KPI hierarchies, and performance scorecards across marketing channels.
- Building scalable data products that improve the accuracy, availability, and usability of marketing and commercial datasets.
Data Management & Governance:
- Ensuring data quality, consistency, and governance across marketing, CRM, web analytics, and eCommerce datasets.
- Partnering with BI, Digital Technology, and data engineering teams to optimize data pipelines, tagging/instrumentation, and data taxonomy.
Cross-Functional Analytics Partnership:
- Collaborating with marketing, sales, eCommerce, and product teams to understand business questions and translate them into analytical solutions.
- Presenting insights to stakeholders at various levels, guiding decision‑making with clear narratives and fact‑based recommendations.
- Sharing analytics best practices and educate teams on interpreting data and leveraging insights for better outcomes.
What you already have...
Desired Skills & Experience:
- Strong quantitative and analytical skills with experience in digital analytics, customer analysis, attribution, and commercial data.
- Ability to translate data into strategic insights and communicate them clearly to both technical and non‑technical stakeholders.
- Experience with web analytics tools (e.g., GA4, Adobe), BI platforms (Power BI/Tableau), and CRM/marketing automation systems.
- Technical proficiency in SQL, data modeling, and large dataset manipulation (preferred).
- Detail-oriented with a strong sense of ownership, accountability, and proactive problem solving.
- Demonstrated ability to partner cross‑functionally and influence decision‑making through data.
- Comfortable working in a dynamic environment with evolving priorities.
Required Qualifications:
- 12 years+ experience overall, with 6+ years of experience in analytics, data insights, digital analytics, marketing science, business intelligence, or related fields.
- Analytics function leadership & team management experience preferred.
- Strong experience analyzing digital marketing data, customer behavior data, funnel metrics, and/or commercial revenue datasets.
- Experience in B2B, digital marketing analytics, or eCommerce analytics is highly valuable but not required.
- Proven ability to turn complex datasets into business-ready insights and clear narratives.
- Hands-on expertise with:
- Web analytics platforms (GA4, Adobe Analytics)
- BI tools (Power BI, Tableau)
- CRM and marketing automation systems (Salesforce, Marketo, Eloqua, etc.)
- Comfortable working with large & complex datasets.
- Demonstrated experience influencing decision‑making in a cross-functional environment.
- Detail-oriented, accountable, and proactive in identifying and addressing analytical needs.
