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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Transformation, Data Visualization, and Statistical Analysis, with a strong ability to synthesize complex datasets into actionable insights. Proficient in programming languages and cloud infrastructure, ensuring alignment of data strategies with business objectives.
Highest-signal resume keywords
Data Transformation Pipeline DevelopmentData Visualization Using Power BI or Qlik SenseStatistical Analysis and Machine Learning TechniquesProficiency in SQL and Data ManipulationCloud Infrastructure Experience
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 TransformationData VisualizationStatistical AnalysisMachine LearningPythonPysparkJavaSQLGitCloud Infrastructure
Soft Skills
Communication SkillsCollaboration
Tools & Technologies
Power BIQlik SenseGitHubGitLab
Industry Keywords
Product DevelopmentPricing AnalysisSKU RationalizationMargin OpportunitiesData Strategy
Tech Stack
Tools & technologiesCloudJavaPySparkPythonSQL
About the role
Key responsibilities & impact- Provide analysis, insight, and recommendations by synthesizing information for various product categories and geographies
- Manage pricing process for the sales team including assessing, approving, and loading all pricing requests.
- Review, research, and analyze pricing to make recommendations on price enhancements, SKU rationalization and margin opportunities.
- Process quotation requests for stock standard items and special order (customer specific) items.
- Leverage advanced statistical methods and descriptive analytical techniques to analyze complex datasets, generate insights, and solve business problems.
- Design, develop and deploy data transformation components, orchestration pipelines, data visualization dashboards.
- Collaborate with stakeholders to ensure the data strategy aligns with business objectives.
Requirements
What you’ll need- Bachelor’s degree/master’s degree in quantitative fields such as Statistics, Computer Science, or Engineering
- 3+ years of experience working with a product development company as a Senior Data Analyst
- 5+ years of experience with Data Transformation pipeline, Data Visualization dashboards – developed, deployed and maintained 5+ projects in production – using Power BI or Qlik sense
- 3+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
- Strong hands-on experience in SQL or data manipulation/query language.
- Worked on Production grade/POC projects including Statistical ML techniques.
- Good communication and comprehension skills to explain DT pipelines to stakeholders in a non-technical manner.
- Performed technical reviews and provided technical support to junior data scientists.
- 3+ years of experience in code version tools like – git, GitHub, GitLab etc.
- 3+ years of Cloud Infrastructure experience is a must.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Professional development opportunities
