What are the responsibilities and job description for the Data Analyst 5 position at Sunrise Systems?
Our client, a leading athletic footwear and apparel manufacturing company OR "An apparel and sporting goods manufacturing company", is looking for a Data Analyst . This is for an initial duration of months and is a remote opportunity
Job Title : Data Analyst
Reference ID : -
Location : Remote
Duration : months
Job Type : Contract (Candidates must be able to work on W without VISA sponsorship)
Summary :
Looking for experienced Data Analyst / Data Scientist for their team.
Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate influences.
Constructs forecasts, recommendations and strategic / tactical plans based on business data and market knowledge.
Creates specifications for reports and analysis based on business needs and required or available data elements.
May provide consultation to users and lead cross- functional teams to address business issues. May directly produce datasets and reports for analysis using system reporting tools.
Program knowledge required :
SQL, Python, Spark, Tableau, Data Bricks
Machine Learning / AI experience
Previous Leadership experience a plus
Strong attention to detail and ability to maintain high standards of data quality.
Excellent written and verbal communication skills.
Ability to handle multiple tasks simultaneously and prioritize effectively.
Description :
Lead to the accomplishment of key goals across consumer and commercial analytics functions.
Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
Validate key performance indicators and build queries to quantitatively measure business performance.
Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
Develop data governance standards from data ingestion to product dictionaries and documentation.
Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.
Organize and transform information into comprehensible structures.
Use data to predict trends and perform statistical analysis.
Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data.
Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows.
Build and deliver scalable data and analytics solutions. Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions
Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.
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