SENIOR DATA ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: September 27, 2024 - The Senior Data Analyst boasts extensive business analytics experience, impacting the bottom line by optimizing revenue through ad-supported web/mobile platforms. Skilled in SQL, Python, and data visualization tools like Tableau and Google Analytics, adept at designing experiments and delivering insightful analyses for decision-making. Manages multiple tasks efficiently with strong attention to detail, enhancing customer segmentation and campaign strategies.
Essential Hard and Soft Skills for a Standout Senior Data Analyst Resume
- Advanced SQL
- Python Scripting
- Data Visualization
- Statistical Analysis
- Machine Learning
- Data Warehousing
- Big Data Handling
- Predictive Analytics
- Data Mining
- A/B Testing
- Analytical Thinking
- Problem-Solving
- Attention to Detail
- Effective Communication
- Time Management
- Adaptability
- Team Collaboration
- Strategic Planning
- Project Management
- Creativity
Summary of Senior Data Analyst Knowledge and Qualifications on Resume
1. BA in Statistics with 4 Years of Experience
- Strong Development experience in Alteryx.
- Experience in the creations of Complex automation using interface tools, Reporting tools and Macros.
- Knowledge of Configuration of each Alteryx tools and Optimizations of Workflows
- Intellectual agility and interpersonal flexibility
- Strong analytical and problem-solving skills
- Creative attitude and an eye for customer experience
- Highly driven, results-oriented, out-side-of-the box thinker and forward-thinking problem solver
- Able to prioritise workload of self and others.
- Experience with key Complaint Management technologies (SAP CRM, IQVIA, etc.)
- Excellent critical thinking and solution creation skills
- Ability to deliver in a fast-paced and dynamic environment
- Has an in-depth expertise in supply chain focused data including but not limiting to logistic, inventory, transportation, planning…etc.
2. BA in Computer Science with 3 Years of Experience
- Experience in business analytics and the demonstrated ability to impact the bottom line
- Previous analytics experience optimizing revenue at an ad supported consumer web/mobile company preferred.
- Previous experience supporting a performance marketing team is also desirable
- Proven experience applying analytics skills to drive insights and decision making
- Advanced SQL skills
- Experience designing and executing experiments
- Experience with Tableau, Google Analytics, Excel and PowerPoint
- Experience with Python or another scripting language
- Strong attention to detail
- Experience in effectively managing a range of tasks and priorities, simultaneously
- Experience with customer segmentation, campaign data, and Google Analytics
- Experience with an emphasis on business reporting and analytics
3. BA in Economics with 5 Years of Experience
- Strong presentation skills (verbal and written)
- Strong SQL skills
- Ability to build trust and rapport with business users
- Ability to explain data, dashboard, and reporting design concepts and recommendations clearly and succinctly
- Skilled in requirements gathering and analysis of datasets
- Ability to query, cleanse, manipulate, and analyse data with tools/languages such as Excel, SQL, and Alteryx
- Confident querying directly from data warehouses as well as using data in reporting tools
- Successful delivery of reports using different reporting tools such as Business Objects and/or Power BI and/or Excel
- Experience with dashboarding tools such as Tableau, Qlik, and/or Power BI
- Experience delivering as part of an Agile team
- Aptitude and attitude for increasing technical skills
4. BA in Data Science with 8 Years of Experience
- Data analysis experience
- Experience in a role that required data analytics and modeling for business use (e.g. strategic planning, management consulting, or analysis)
- Ability to project manage by identifying key deliverables and milestones, and working with business stakeholders independently
- Demonstrable organizational and project management skills, with the ability to manage multiple projects with competing priorities.
- Strong analytical and problem-solving skills with the ability to work with diverse groups of internal clients
- Proficient using MS Access, SQL, Business Intelligence tools (Tableau)
- Strong MS Excel experience (e.g., lookup formulas, pivot tables, and financial modeling)
- A strong communicator (oral and written), who is inquisitive, enthusiastic, and personable and demonstrates high attention to detail
- A self-starter who likes to see the big picture, but also enjoys getting into the details
- Creative problem solver and highly collaborative team player who is comfortable working as a SME and key contributor on a matrixed team and able to navigate many crossflow dependencies and diverse stakeholder groups.
- Experience in Pharmaceutical Commercial Analytics and data sources
5. BA in Business Analytics with 5 Years of Experience
- Data analytics experience
- Experience working in a healthcare organization and supporting a clinical team with data analytics
- Experience working with administrative healthcare data
- Deep experience in developing queries and reports based on user requirements
- Ability to work as part of a team, as well as work independently and take initiative, with minimal direction
- Ability to create reports/dashboards while understanding how to convey the proper information to the clinical teams
- Experience working cross-functionally with non-technical individuals on the team
- Excellent written, presentation, and verbal communication skills
- Strong experience in Python, SQL, Tableau
- AWS/Redshift experience
- Experience developing requirements and functional designs for global technology solutions
6. BA in Statistics with 5 Years of Experience
- Strong ability to work cross-functionally in hypothesis generation, experiment selection, designing of experiments, setting success/failure criteria, rapid prototyping of concepts through testing tools
- Strong knowledge of A/B testing platforms, solid testing principles and applied statistics related to A/B and multivariate testing.
- Experience developing rich applications with HTML, CSS, and JavaScript.
- Experience/familiarity with Digital Experimentation tools (ex. Adobe Target, Optimizely).
- Advanced experience with web analytics tools, such as Adobe Analytics, Omniture and Google Analytics.
- Experience in a hands-on analytical role with a focus on analyzing business problems.
- Experience prototyping models in excel.
- Strong analytical, conceptual, and problem-solving abilities.
- High level of comfort with large relational data sets, database mining and manipulation.
- Advanced skills in tools used for data analysis and reporting (SQL, Excel, Tableau).
- Clear written and oral communication skills.
- Database experience in, but not limited to Postgres, SQL Server, Oracle, Vertica (or any Big Data environment).
7. BA in Computer Science with 4 Years of Experience
- Experience in data warehousing design, modelling and data architecture processes and standards.
- Strong programming skills in SQL.
- Experience in the data space.
- Experience in SQL Server including Integration Services and Reporting Services a distinct advantage.
- Experience with analytical software e.g. Spotfire, Tableau, Power BI.
- Strong analytical and reporting skills, highly numerate with the ability to solve complex problems.
- Ability to complete investigations and excellent report writing skills.
- An understanding of data quality and master data
- Experience in leading/ mentoring others.
- Ability to manage projects concurrently and think laterally across a wide range of issues and from an organisational perspective.
- Excellent oral and written communication skills, including the ability to explain data management &, advanced analytics concepts and outcomes to business leaders.