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Software Engineer – Analytics, Insights
Lithe TransformationSoftware Engineer designing and building enterprise analytics products for a fast-growing consultancy. Focused on developing datasets, dashboards, and analytics tools for business stakeholders.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building analytics datasets, dashboards, and semantic layers for enterprise reporting, while ensuring data quality and governance. Proficient in implementing CI/CD pipelines and utilizing AI-assisted tools to enhance analytics workflows.
Highest-signal resume keywords
SQL ProficiencyDashboard DevelopmentCI/CD Pipeline ImplementationEnterprise Data GovernancePython Scripting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModellingAnalytics Dataset DesignMetrics Framework DevelopmentAnalytical Model DesignAI-Assisted Tools Usage
Soft Skills
Business Translation Skills
Tools & Technologies
TableauPower BILookerThoughtSpotSnowflakeDatabricksBigQueryGit
Industry Keywords
Data QualityData GovernanceData LineageAnalytics Workflows
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Design and build analytics datasets and semantic layers for enterprise reporting
- Develop dashboards and analytical products used by business stakeholders
- Translate business questions into measurable metrics, dashboards and insights
- Design reusable analytics assets such as curated datasets, metrics frameworks and analytical models
- Implement CI/CD pipelines for analytics workflows
- Work with enterprise data platforms to deliver scalable analytics solutions
- Ensure strong data quality, governance and lineage practices
- Use AI-assisted tools and LLMs to accelerate analytics workflows, documentation and insight generation
Requirements
What you’ll need- 5 years+ experience in software engineering
- Strong SQL and data modelling skills
- Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot or similar tools
- Experience with enterprise data platforms such as Snowflake, Databricks or BigQuery
- Proficiency in Python or similar scripting languages for analytics, automation or data manipulation
- Experience implementing CI/CD pipelines using Git
- Understanding of enterprise data governance, lineage and data quality practices
- Strong ability to translate business questions into metrics, dashboards and actionable insights.
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Occasional meetings and events in London and/or Sheffield