Senior Consultant Data Analyst
About The Position
Excella is seeking an expert in data analysis and technical consulting who is driven to deliver valuable customer experiences. The role works collaboratively with teams using agile methods to analyze, define, and document business requirements for software solutions that align with organizational goals and client outcomes. It supports clients’ digital product needs from vision and roadmap through execution. The analyst will investigate business context and objectives, operationalize business questions using data, and create analyses and visualizations that communicate useful insights. The role also involves working with relational databases, data architecture and modeling, data transformation and cleansing, dashboard development, and documenting analysis processes and outcomes. Analysts build productive relationships with both technical and non-technical stakeholders and apply relevant industry or subject matter expertise.
Requirements
- At least 3 years of experience in IT or a related industry.
- Intermediate to advanced SQL skills.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong analytical aptitude and ability to structure complex or undefined business problems.
- Strong verbal and written communication skills, including the ability to report and present findings to varied stakeholders.
- Hands-on experience using tools to help clients make data-driven decisions.
- Intermediate experience with Microsoft Excel and PowerPoint.
- Initiative to learn new strategies and trends and continue developing analytical, technical, and technological knowledge.
Nice To Haves
- Experience with cloud analytics products such as Google Cloud, AWS, or Microsoft Azure.
- Knowledge of statistics and experience using statistical packages to analyze datasets.
- Knowledge and practice of core Agile values and principles.
Responsibilities
- Develop an understanding of business context and objectives by eliciting and analyzing requirements from stakeholders, including business users, data engineers, and data scientists.
- Operationalize business questions using data.
- Apply an understanding of relational databases, data architecture, and data modeling.
- Build complex SQL statements to answer business questions.
- Design conceptual data models, entity relationship diagrams, and business process models.
- Transform and cleanse data using tools such as R, SQL, or Python.
- Interpret, understand, and explain data insights to clients.
- Create and manage drag-and-drop dashboards for storytelling, regular information reports, and ad hoc requests.
- Build trust, establish relationships, and develop rapport with technical and non-technical team members.
- Document data analysis processes and outcomes.
- Use industry or subject matter expertise, such as in finance, employment, hospitality, or web analytics.
Benefits
- Medical, dental, and vision plans with multiple options.
- Employer-contributed health savings account.
- Infertility coverage and orthodontia.
- Eight weeks of parental leave.
- Discounted pet insurance.
- Care.com membership with three annual backup emergency child or elder care days.
- Annual bonus eligibility beginning on the first day.
- 15 days of paid vacation, six federal holidays, and four floating holidays.
- Technology program offering a choice of Mac or PC devices, with a replacement computer after three years and the original device retained for personal use.
- $25 monthly internet reimbursement.
- Three days of paid professional development annually, with an allowance for registration fees for classes, conferences, or professional certifications.
- Employee wellness events and a HeadSpace membership.
- Access to TalkSpace and mental health coverage through medical plans.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
