Senior Pensions Data T
Pubblicato il 09-10-2026 - Altro in Italia
STRAT7 is a data, analytics, and strategy consultancy that helps clients solve complex business challenges. We combine cutting‐edge technology with deep industry expertise to deliver actionable insights that drive growth and transformation. As a group, we bring together experts in data science, AI, consumer insight, commercial strategy, and research methods to provide clients with a complete solution to their business challenges. We embrace agile methodologies across our organization, allowing us to respond quickly to changing market conditions and client needs while delivering high‐quality solutions efficiently. POSITION OVERVIEW
The Data Processor will join the Data Processing Team to support the delivery of high‐quality survey data outputs. The role focuses on producing data tables to specification, preparing raw data files, and carrying out soft launches and data quality checks using Askia Analyse and SPSS.
KEY RESPONSIBILITIES
Produce data tables in Excel to client specification using Askia Analyse
Prepare raw data files in formats including SPSS (.sav), Excel, CSV, Q
Perform soft‐launch checks on survey data to ensure survey scripting logic has been applied correctly
Carry out quality control checks on data throughout fieldwork, rejecting interviews that do not meet the required standard, according to a series of pre‐agreed criteria
Collaborate with the Scripting and Data Processing Leads to deliver flagship and high‐complexity projects, contributing expertise across the full data processing lifecycle and authoring supporting documentation and best‐practice materials
SKILLS & ATTRIBUTES
Experience with data processing skills within Market Research or any other relevant industry
Confidence in authoring and maintaining data processing syntax to support efficient, repeatable workflows, with the ability to train and upskill others in its effective use
A highly proactive and detail‐oriented approach to quality assurance, with the ability to independently validate o