11 дней назад
Senior Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Predictive Analytics/Data Visualization): Developing and maintaining analytics solutions, predictive models, dashboards, and reports that support market insights and data-driven decisions with an accent on statistical analysis, data enrichment, and business collaboration. Focus on analyzing complex business issues, improving enterprise processes, and mentoring data analysts while translating technical findings into actionable recommendations.
Location: United States
Company
is building a data analytics center of excellence to support strategic market insights and data-driven decisions across business units.
What you will do
- Develop and enhance predictive analytics products, visualizations, and workflows for complex business problems.
- Identify valuable internal and external data sources and enrich organizational data with third-party information.
- Build and maintain dashboards, reports, and other analytics solutions for internal and external users.
- Collaborate with department managers, IT, IT Security, data warehouse teams, vendors, and contractors on enterprise data needs.
- Communicate project issues and decisions transparently with stakeholders and business leaders.
- Mentor analysts and support training, awareness initiatives, and data-focused events across the organization.
Requirements
- Bachelor’s degree in business, data, statistics, or a related field.
- 5–7 years of experience in data modeling, analysis, and understanding business and data requirements.
- Experience with statistical or mathematical modeling and business process improvement.
- Experience using Snowflake, Alteryx, Tableau, Power BI, ArcGIS, or comparable industry software.
- Strong verbal and written communication skills, including the ability to explain technical matters to business stakeholders.
- Ability to manage senior customer relationships, gain support for ideas, make informed decisions, and execute organization-wide initiatives.
Nice to have
- Advanced degree in business, data, statistics, or a related field.
- Knowledge of emerging analytical trends, technologies, and methodologies.
Culture & Benefits
- Collaborative work across business, technical, security, data warehouse, vendor, and contractor teams.
- Opportunity to promote a data analytics culture through training and employee data events.
- Role requires remaining stationary for most of the workday.
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