21 Senior Data Analyst Jobs in Lewisville, TX
Everest Search Partners is Hiring a Senior Data Analyst Near Lewisville, TX
Job Responsibilities
- Develop and enhance data collection processes, document data definitions and catalog metadata requirements for enterprise BI and analytical applications.
- Develop and maintain key performance indicators (KPIs) for sales and operational performance to support business initiatives, creating clear and compelling visualizations of data insights.
- Identify trends, patterns, and anomalies in sales data, providing actionable insights for business optimization.
- Apply advanced quantitative methods, data mining, modeling, and analytical tools to solve complex business problems.
- Extract, clean, and analyze large datasets related to retail and e-commerce sales.
- Gather end-user reporting and dashboard requirements.
- Provide training, resolve questions, assess user needs, and recommend changes to data systems.
- Apply typical data science techniques (classification, regression, optimization).
- Utilize data exploration and analytical tools, advising business stakeholders.
- Conduct research and analysis, applying strong critical and lateral thinking skills.
- Translate data into actionable recommendations, actively solving ambiguous, unstructured problems.
- Work within a cross-functional, team-driven structure to present and explain deliverables to non-technical stakeholders.
- Build strong business partnerships to enhance enterprise utilization of data.
- Share and implement best practices.
- Mine/validate/cleanse data and provide ad hoc analysis upon request.
- Ability to work a HYBRID SCHEDULE: In office Monday-Thursday, remote on Friday.
- Detail-oriented with a passion for accuracy in data analysis
- Ambitious, innovative individual, not afraid of change and moving at a fast pace
- Comprehensive understanding of best practices in Systems Analysis, Business Analysis, and Business Intelligence
- Experience with large, complex data warehouse projects in retail environments, pulling data from multiple sources
- Understanding of data modeling; ability to explain and interpret conceptual, logical, and physical models
- Strong work ethic and excellent communication skills
- Ability to work in an environment with multiple technology infrastructures
- Must possess a continuous improvement mentality and is always looking for opportunities to drive improved efficiency and effectiveness in our operations
- Ability to work independently while building strong relationships and maintaining rapport with business colleagues
- Comfort with change and the ability to adapt easily to new systems
- Proactive and self-motivated, with the ability to prioritize and manage multiple tasks
- Personal qualities of integrity, credibility, and a commitment to the organization’s mission
- Bachelor’s degree in Business, Statistics, Economics, Computer Science, or a quantitative field or Relevant Experience
- 2 years of experience in an analytical or strategic role
- Experience with advanced ETL tools including Tableau Data Prep, PowerQuery, SQL Server Reporting Services and others
- Experience working in cross-functional teams focused on various analytics areas (Business/Financial Analysis, Promotional Analytics, Customer Analytics, Pricing, Merchandising, Media Analytics, etc.)
- Advanced knowledge and experience with big data ecosystems, relational databases, SQL, and business intelligence tools (Tableau or Power BI, etc.)
- Experience developing analytic techniques such as forecasting, predictive modeling, segmentation analysis, simulation modeling, and data mining
- Understanding and capabilities with Python, R scripting and other advanced data coding languages
- Advanced skill with Excel and Microsoft Office
- Netsuite experience preferred
- Consumer packaged goods industry experience; retail experience a plus
Job Summary
Full Time
$91k-119k (estimate)
04/05/2024
06/30/2024
everestsearch.com
Stamford, IL
<25
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The following is the career advancement route for Senior Data Analyst positions, which can be used as a reference in future career path planning. As a Senior Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Analyst. You can explore the career advancement for a Senior Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Analyst job description and responsibilities
Does statistical analysis, explanatory and predictive modeling, data mining.
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They also monitor and oversee the work of less experienced analysts.
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The senior data professionals work closely with business stakeholders to understand their objectives and to determine how data can be used to achieve the goals.
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They also work with large sets of data and establish scalable and accurate analytics systems across several applications.
03/16/2022: Raleigh, NC
The Senior Data Analyst additionally develops models and ad hoc reports, sharing observations and recommendations with senior data management, executives, and stakeholders for further consideration.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Analyst jobs
Systems are then sent to the senior data analytics management for approval and feedback.
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Typically, senior data analysts have a diverse and rich background.
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Learn Data Analytics Fundamentals.
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A good data analyst has a blend of technical and soft skills.
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Candidates with strong academic results will be highly preferred as entry level analysts than their counterparts.
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Step 3: View the best colleges and universities for Senior Data Analyst.
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