Senior Data & Insights Lead
Listed on 2026-01-17
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IT/Tech
Data Analyst, Data Science Manager
About Bionic
Bionic exists to make life radically easier for small business owners.
We’rebuilding a one-stop shop for all their business essentials-energy, insurance, connectivity, telecoms, and finance-combining smart technology with world-class human service to deliver a seamless experience SMEs can trust.
With over
600 colleagues across the UK,we’regrowing fast, powered by innovation, data, and a passion for making British SMEs truly
Bionic.
As Bionic continues its journey to become the UK’s leading tech-enabled SME platform, we are looking for aData andInsights
Leadto elevate our data capability and drive transformation through data-driven decision‑making.
You will play a pivotal role in shaping the company’s data strategy, and culture,ensuring that insight, automation, and analytics sit at the heart of how weoperateand support commercialvalue.
Reporting directly to the Chief Sales & Operations Officer,you’lllead a growing team responsible for data analytics, data science, reporting,insightsandgovernance, helping Bionic unlock value across Sales, Marketing, Operations, and Customer Experience.
Key Responsibilities 1. Data Strategy & Leadership- Develop and deliver
Bionic’senterprise-wide data strategy, aligning data initiatives with commercial and operational objectives. - Champion data as a strategic asset, fostering a culture of data literacy and evidence-based decision‑making across all functions.
- Establish andmaintaingovernance frameworks to ensure data integrity, security, and compliance with regulatory standards (including GDPR).
- Build scalable systems and processes in the context ofDataReporting andDataScienceto ensure data accuracy, consistency, and availability across platforms.
- Translate data into actionable insights that drive revenue growth, customer retention, and operational efficiency.
- Apply statistical modelling, machine learning, and AI to solve complex business problems.
- Oversee the design and delivery of dashboards, reports, and self‑service analytics tools.
- Partner with senior leaders to develop dashboards, KPIs, and predictive models that support commercial and customer strategies.
- Oversee the design and implementation of data platforms, pipelines, and tools that enable real‑time analytics and automation.
- Work closely with Technology and Product teams to ensure data systems are robust, scalable, and integrated with core business applications (CRM, Amazon Connect, etc.).
- Lead, coach, and grow a high‑performing data team, balancing strategic thinking with hands‑on technical expertise.
- Foster collaboration between Data, Sales, Engineering, Commercial, Marketing, and Operations to ensure data‑driven alignment across the organisation.
Skills and Qualifications
Essential:
- Solid experience in data leadership roles within high‑growth, tech‑enabled or performance‑driven organisations.
- Proven track recordof designing and executing enterprise data strategies that deliver measurable business outcomes.
- Strong technical foundation in modern data stacks (e.g., Snowflake,Big Query, Power BI,DBT, Python, or similar) anddata reporting:
Tableau(preferred),Power
BIor similar visualization tools. - Deep understanding of dataproduct,dataarchitecture, data warehousing,datascienceand advanced analytics (including AI/ML applications).
- Experience in transforming data functions to support automation, CRM optimisation, and customer experience enhancement.
- Ability to balance technical depth with strategic thinking.
- Strategic &hands‑On:
Able to think long‑term while diving into the details when needed. - Curious &analytical:
Youseekto understand the ‘why’ behind every metric and enjoy solving complex problems with data. - Collaborative &Influential:
You work cross‑functionally, translating data insights into actionable business strategiesand commercialvalue. - Low Ego,high impact:
You lead with authenticity, humility, and a drive to make things better — every single day. - Customer-obsessed:
You care deeply about using data to improve customer outcomes and experience.
At…
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