Analytics Specialist
4 weeks ago
Responsible for the front-end production of data solutions used to drive business value, with a strong emphasis on Finance Reporting and Product Reporting. The Analytics Specialist III will consolidate data and provide value-add reporting and analysis, specifically focusing on financial metrics and product performance insights. This role will be a critical part of the A&I team by delivering strategic solutions to internal and external customers via Dashboarding/Reporting. The Analytics Specialist III will support teams and management by collecting data, analyzing financial and product structures, and publishing and maintaining dashboards and/or reports for end users.
Essential Functions:
- 5+ Years working knowledge with PowerBI (Preferred) or Tableau -- Required
- 3+ Years working knowledge with AWS -- Required
- 6+ Years' experience with Microsoft SQL Server 2012 or later -- Required
- Strong oral and written communication skills - Required
- Demonstrated problem solving and critical thinking skills -- Required
- Excellent attention to detail -- Required
- Experience and demonstrated competency with data visualization -- Required
- Experience with Visual Studio, SSRS, Paginated Reports -- Required
- Proficiency in AWS services such as AWS Glue, Athena, and QuickSight, Redshift -- Preferred
- Proficiency in data modeling and database design to create efficient and scalable data structures for reporting purposes. - Required
- Expertise in creating mobile-friendly and interactive reports and dashboards, ensuring accessibility and ease of use across devices. - Required
- Familiarity with AWS Lambda for creating serverless functions that process, transform, and analyze data on-demand, supporting real-time reporting requirements. - Required
- Strong understanding of data mesh principles, including domain-oriented ownership, self-serve data infrastructure, and product thinking for data, to effectively collaborate with domain teams and facilitate decentralized data access and reporting. -- Required
- Experience with cloud-based BI tools and platforms, such as AWS, Azure, or Google Cloud. - Required (Certifications a plus)
- Proficient with Excel, Word, and Office365 - Required
- ServiceNow and/or Salesforce Experience- Preferred
- Demonstrated ability to complete projects and achieve results within the timelines and commitments set forth - Required
- Excellent planning and organizational skills -- Required
- Experience in delivering effectively in a remote or hybrid capacity - Required
- Familiarity with Big Data technologies such as Hadoop and Spark, enabling the processing and analysis of large datasets. -- Preferred
- Familiarity with NoSQL databases, such as MongoDB or Cassandra, to handle unstructured data. - Preferred
- Knowledge of data warehousing concepts, including star schema, snowflake schema, and ETL processes. - Preferred
- Expertise in Agile methodologies to ensure smooth, efficient project execution and deliver faster value to the Business. - Required
- Demonstrated knowledge of UX/UI design principles and best practices to create visually appealing and user-friendly reports. - Required
- Proficiency in using version control systems, such as Git, to manage and track changes in report designs and data processes. - Preferred
- Strong understanding of key performance indicators (KPIs) and metrics relevant to various industries and business domains. - Required
- Demonstrated ability to translate written and/or verbal business requirements into data assets -- Required
- Demonstrated ability to work with ambiguous or incomplete requirements and clarify as necessary -- Preferred
- MySQL working knowledge - Preferred
- Working Knowledge of Python -- Preferred
- Experience with advanced analytics techniques, including machine learning and predictive modeling. - Preferred
- Familiarity with data quality management and data governance best practices to ensure data integrity. - Preferred
- Experience with real-time analytics and stream processing frameworks, such as Kafka or Apache Flink, for up-to-date reporting. - Preferred
- Familiarity with geospatial analysis tools, such as QGIS or ArcGIS, to incorporate location-based insights into product reports. - Preferred
- Experience with A/B testing and multivariate analysis to evaluate and optimize the performance of product features and campaigns. - Preferred
- Four years of College resulting in a Bachelor's Degree or equivalent
- Microsoft Certified: Azure AI Fundamentals -- Required
- Microsoft Certified: Power BI Data Analyst Associate - Required
- Microsoft Certified: Azure Data Scientist Associate - Preferred
- Microsoft Certified: Fabric Analytics Engineer Associate -- Preferred
- Microsoft Certified: Azure AI Engineer Associate -- Preferred
- Microsoft Certified: Azure Data Engineer Associate - Preferred
- Microsoft Certified: Azure Solutions Architect Expert - Preferred
- Microsoft Certified: Power Platform Fundamentals - Preferred
- Microsoft Certified: Power Platform Solution Architect Expert - Required
- Microsoft Certified: Power Platform Developer Associate - Preferred
- Microsoft Certified: Azure Fundamentals - Preferred
- 7-10 Years
- Proven track record leading teams to deliver on complex technical problems for internal and external customers.
- Proven track record of delivering complex analytical solutions to external customers.
- 15+ years in enterprise analytics with experience across Finance, Sales, Operations and Marketing.
- 15+ years in corporate analytics (Analyst/Engineer/Data Architect) -- Required
- 10+ years of experience building enterprise data processes.
- 10+ years of experience in requirements gathering, design, implementation, QA and delivery of enterprise data solutions.
- 10+ years gathering and synthesizing business requirements into information assets - Required
- 10+ years with Enterprise Business Intelligence Tools -- Required
- 10+ years in technology/professional service sales organization performing analytics - Required
This position does not have any supervisory responsibilities.
The work is primarily performed in an office or remote environment.
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