Position Details

Salary $118K – $139K USD / year

Type Full-Time

Experience mid

Exp. Years 4+ years

Education Bachelor's Degree

Category Data & Analytics

About this role

Kidde is seeking a Data & Analytics Engineer to develop sales reporting and analytics, build data pipelines to the enterprise data warehouse, and champion a data-driven culture. The role partners with cross-functional teams to translate analytics needs into scalable data solutions using Snowflake and BI tools.

Key Responsibilities

Leverage data tools to provide reporting and insights
Create and maintain customer scorecards with metrics
Collaborate with cross-functional teams to ensure data accuracy
Develop and run weekly and monthly brand reports
Design, build, and maintain data pipelines to move and transform data into the enterprise data warehouse

Technical Overview

Stack includes Snowflake, SQL, Power BI, Tableau, Alteryx, Excel; focus on ETL/ELT development, data modeling (dimensional and semantic) and data pipeline design from Excel/ERP/CRM into Snowflake; reporting and analytics.

Ideal Candidate

The ideal candidate is a data & analytics engineer with 4+ years of data engineering and analytics experience, proficient in SQL and Snowflake, and skilled in BI tools like Power BI and Tableau. They should design scalable data pipelines and data models to enable enterprise reporting.

Must-Have Skills

Bachelor’s Degree4+ years of experience data engineeringETL/ELT developmentor analytics engineering

Nice-to-Have Skills

Bachelor’s degree in Computer ScienceData engineering or related fieldOR equivalent hands-on experienceProficiency with Power BITableauAlteryxExperience building data models and reports

Tools & Platforms

SnowflakePower BITableauAlteryxExcel

Required Skills

Data engineeringETL/ELTSQLStructured Query LanguagePower BITableauAlteryxSnowflakeExceldata pipelinesdata warehousedimensional data modelssemantic layerscross-functional collaboration

Hard Skills

SQLStructured Query LanguagePower BITableauAlteryxETLELTSnowflakeExceldata warehousedata pipelinesdimensional data modelssemantic layers

Soft Skills

collaborationcommunicationleadership potentialanalytical mindsetproblem-solvingattention to detail

Industry & Role

Industry SaaS

Job Function Develop data-driven analytics infrastructure and reporting to support sales and business decisions.

Role Subtype Data Engineer

Keywords for Your Resume

Data & Analytics EngineerData EngineerSQLStructured Query LanguagePower BITableauAlteryxETLELTSnowflakedata warehousedata pipelinesdimensional data modelssemantic layersERPCRMExcelBachelor's DegreeFull-TimeRemoteKidde Global Solutionsanalyticsreportingdata & analytics engineerETL/ELT

Deal Breakers

No 4+ years data engineering/analytics experience, No SQL/ETL experience, Not able to work remotely

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