about Randstad Sourceright
Randstad Sourceright is a global talent leader, providing solutions and expertise that help companies position for growth, execute on strategy, and improve business agility. Sourceright's experience encompasses all facets of the talent acquisition of permanent employees and the contingent and contractor workforce. Key offerings include Managed Services Provider (MSP) programs, Recruitment Process Outsourcing (RPO) and Blended Workforce Solutions.
The Business Intelligence Data Engineer position is dedicated to a large client's integrated support effort, is responsible for working with internal, external and BI team to support end to end data, reporting and visualization needs. Review of client reporting requirements (multiple stakeholder groups), validating need, exploring and determining reporting and data needs to support integrated client solutions.
Use strong independent judgment to identify VMS/ATS and other external system reporting capabilities and correlate that to business requirements to identify, develop and extra data from multiple systems. Apply skills, experience, and creativity necessary to exploit the data assets resident in various source systems. Utilize various data tools and techniques to build and automate data and visualization solutions.
This role will be instrumental in supporting end to end BI process, including but not limited to data investigation, extraction, aggregation and delivery via dashboards and reports (scheduled and ad hoc). The role will build automated processes to support large scale data analysis. This is a hands-on technical position requiring analytical and problem-solving skills and technical expertise necessary to design and deliver independently (code, build and test).
Position SummaryExperience with end-to-end agile BI solutions, including ETL/ELT, data scrubbing, wrangling, loading, and reporting.Extensive hands-on experience with analyzing and designing data models to support analytics applications and data visualization.Design and develop ELT/ETL processes to support current and evolving data requirements. Strong data profiling skills to analyze source system data for ETL/ELT development. Perform data conversions, imports, and exports of data within and between multiple systems.Integrate data from diverse data sources. Experience working with large data sets in a variety of formats such as flat files, databases, xml files and/or unstructured data. Data integration experience or exposure to calling APIs for data transfer or processing using API preferred.Good understanding of data related technologies such as Data Modeling, ETL, ELT, Data mining, data wrangling, data integration, data exploration etc .Conducting data analysis to determine structure, content, and quality of data. Performing data quality audits to ensure data consistency and cleanliness. Support business stakeholders in analyzing and resolving any data issues as required.Good at piecing together data puzzles, asking questions, and working with colleagues and clients to get answers.Build dashboards, reports and visualization using DOMO. Experience in data retrieval, data manipulation, data analysis and presentation using data visualizations. Advanced report building skills, including complex calculated fieldsLiaise with BI team, internal account teams, external clients and implementation team members.
Experience5-7 years of business experienceExperience working in one or more of the following: Business Intelligence/Data Science/Data Analytics/ETL Development/Dashboard Development/Reports development/Data Engineering/Data ArchitectureBachelor's degree in Data Science/Data Management/Business Analysis highly preferred. Master's degree a plus
Knowledge, Skills, and AbilitiesExcellent communication and facilitation skills required for various levels throughout external and internal organizations5+ years SQL development experience required.5+ years data engineering / data warehouse or ETL development experience required.3+ years BI development/reporting experience required.3+ years data visualization/KPI/dashboard experience with Tableau/DOMO/Power BI or other tools required.Data Architecture experience preferred.Python/R data programming skills preferred.Excellent working knowledge of MS - Excel with knowledge of macros and pivot tables.Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining qualityAbility to synthesize and analyze information and ideasStrong drive and commitment to delivering outstanding results
Randstad Sourceright is an Equal Opportunity Employer and makes all employment decisions based solely on the basis of qualifications and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status or any other legally protected group status.