Location
Milwaukee, WI | United States
Job description
Role- Data Analyst
Location - Milwaukee, WI
Cary, NC
Strong in: Advance SQL, Data Analyst, Data Sourcing, Python and have Financial Background
Required Skills :
- 5+ years of work experience involving quantitative data analysis
- Technical undergraduate degree (Engineering, Computer Science, Statistics, Analytics etc.) or equivalent experience
- Advanced SQL skills to get the data you need from a data warehouse and perform data segmentation and aggregation from scratch.
- Develop and maintain Python scripts and algorithms for data cleaning, transformation, and analysis.
- Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing)
- Familiarity with AWS (Redshift, Athena, and AWS core concepts)
- Familiarity with Data modelingand schema design
- Proficient in analytical and data modeling tools, such as Python, R, or PyCharm
- Self-starter who attacks the problem with excellent critical-thinking skills, creativity, and end-to-end quantitative and qualitative analysis
- Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- High level of professionalism, passion, strong organization, time management and task prioritization skills with attention to detail and bias to action
- Inquisitive, curious, and bias towards learning and continuous improvement
- Ability to grasp quickly and get up to speed on instrumentation, clickstream data, data architecture, and complex business system interactions such as Salesforce, Amazon Connect, EWFM preferred
Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. (Master's degree preferred)
- Proven experience as a Data Analyst or similar role, with a strong focus on data analysis and visualization.
- Proficiency in advanced SQL for querying and manipulating relational databases.
- Strong programming skills in Python for data manipulation, analysis, and automation.
- Experience with data sourcing, integration, and validation from various structured and unstructured sources.
- Solid understanding of statistical concepts and techniques for data analysis.
- Excellent problem-solving skills and attention to detail with the ability to translate complex data into actionable insights.
- Strong communication and collaboration skills with the ability to effectively interact with cross-functional teams.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn is a plus.
- Knowledge of machine learning concepts and techniques is desirable but not required.
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- Dice Id: 10371609
- Position Id: 8200606
Job tags
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