Data Analyst
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The Role
As a Data Analyst you will help execute on key Retail Finance decisions, including analysis of market objectives, operational performance (with respective comparison to market / industry performance), and budgeting requirements. You will gather relevant data, build, and support operational models, and engage in active dialogue with GTI’s management team.
Responsibilities
- Build and automate dashboards to provide financial visibility to business partners
- This role will be instrumental in identifying and visualizing business trends and insights for the Retail and Marketing teams. Additional responsibilities include: developing reports/queries, creating scorecards, performing statistical analysis, forecasting demand, and refining key performance indicators.
- Utilize statistical data analysis tools (e.g. deviation, slope, capability correlation) and translate data, trends, opportunities and other information into insights.
- Manipulate data in BI software (e.g. Power BI) and Excel to create and share internally.
- Perform data validation, root cause analysis, and ETL activities to ensure data accuracy.
- Research, analyze and resolve issues surrounding data. Work with functional teams to resolve data discrepancies.
- Reports gap analysis, verifies data validation & analysis, capable to be conversant with data warehousing.
- Render KPIs through role specific dashboards and seamlessly integrate the data from multiple sources.
- Create and evolve performance management tools and processes.
- Develop user scorecards and metrics to provide high level visibility into performance
- Gather, analyze, document and validate the needs of stakeholders
- Interpret and translate needs of Retail team for improved deliverables.
- Manage departmental projects & programs as well as Retail BI data, reporting or querying requests.
- Develop strong working relationships with Retail leadership, cross-functional stakeholders, end users, Innovation & Technology team, and other analysts in the organization.
What we are looking for
- Bachelors degree Mathematics, Statistics, Finance, Computer Science or equivalent work experience
- 2+ years of experience writing your own SQL and using SQL on the job.
- 2+ years of experience providing reporting and datasets to internal / external customers.
- 1+ year of experience working on a team using agile methods.
- Experience with data models, keys, concatenations, lookups, joins, deduplications, transpositions, ranges, indexes, and other data presentation and manipulations.
- Experience with database design, query language, and report writing.
- Demonstrated experience with Business Intelligence software (Power BI, Sisense, Qlik, Tableau).
- Knowledge and proven working experience of data management and data warehousing principles.
- Experience building dashboards and automating manual processes.
- Experience with statistical analysis tools as well as skills or ability to learn advanced analytics software (e.g. R, Knime, Power BI, SAS).
- Knowledge of lean, 5-S, six-sigma and other continuous improvement methodologies.
- Strong analytical, conceptual and problem-solving abilities required.
- Strong written, presentation and oral communication skills.
Additional Requirements
- Must pass any and all required background checks
- Must be and remain compliant with all legal or company regulations for working in the industry
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