Senior Data Analyst: Data Strategy & Insights Lead (Hybrid)

Hippo

Leeds

Hybrid

GBP 55,000 - 75,000

Full time

11 days ago

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Benefits offered by this job

Pension scheme
25 days holiday
Perkbox discounts
Life assurance

Job summary

Hippo is a rapidly growing digital consultancy delivering transformative solutions across public and private sectors. We seek a Senior Data Analyst to join our Hippo Herd, collaborating across data, design, product, delivery and engineering to drive bespoke digital services that create meaningful impact.

You will lead data analysis efforts, ensure data quality, mentor others, and work with stakeholders to translate business needs into robust analytical work.

Qualifications

  • Proven track record as a data analyst with experience exploring and presenting data for users.
  • Expertise in data cleansing, analysis, modelling and visualisation using BI tools.
  • Experience with large data warehouses and/or data lakes; familiarity with cloud-based analytics.
  • Proficient in SQL and languages such as R or Python; able to explain methods to varied stakeholders.

Responsibilities

  • Draw actionable insights from multiple large data sources and communicate them via reports and dashboards.
  • Engage with client stakeholders to understand business needs and translate into analysis requirements.
  • Lead analytical thinking on projects and mentor junior analysts to uphold high standards of insight.
  • Promote Hippo through blogs, case studies and workshops to showcase capabilities.

Skills

SQL
Python
R
Tableau
Power BI
Looker Studio
Data modeling
Stakeholder management
Mentoring juniors

Tools

Snowflake
AWS
dbt
Airflow

Job description

Hippo is a rapidly growing digital consultancy delivering transformative solutions across public and private sectors. We seek a Senior Data Analyst to join our Hippo Herd, collaborating across data, design, product, delivery and engineering to drive bespoke digital services that create meaningful impact.

You will lead data analysis efforts, ensure data quality, mentor others, and work with stakeholders to translate business needs into robust analytical work.

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