Sr. Data Analyst - SQL, Excel, Data Mining

Mavensoft is seeking a Senior Data Analyst with 5-7 years experience in large-scale enterprise data management solutions.

Job Title: Sr. Data Analyst - SQL, Excel, Data Mining

Duration : 6 months (contract) 100% REMOTE (PST hours)

Location : Beaverton, OR

Key Skills : Supply Chain, SQL, Excel, Data Warehouse

Desired Skills: Cloud scalable environment particularly AWS (optional), Agile / Scrum

Job Description:

Assist Data Migrations and Data Assurance processes and solutions required by each Geography in our Client's program roadmap.

You will guide and influence the work of multiple SAP and non-SAP teams including SEC Capabilities, Enterprise Data & Analytics, and Geography based tech and business teams.

Supply chain and retail/wholesale data background will be the key to implementing scalable, resilient technical solutions, and you will work in close collaboration with business, engineering, program, and product management teams.

Job Responsibilities:

Design innovative, high quality, cloud based data pipeline solutions and capabilities in support of the supply chain.

Create novel diagrams to illustrate a multitude of scenarios: data lineage, data logic workflows, or data consumer journeys.

Manage inventory and logistics data to demonstrate your subject matter expertise in the strengths and pitfalls of the data.

Create data architecture diagrams with Information to best represent the storage and consumption of inventory data.

Partner with Solution Architecture create data workflow diagrams to demonstrate how data passes through our systems.

Partner directly with customers and team members to capture details of epic and story requirements, understand use cases, collect samples, and create tests; apply knowledge of Product and business drivers to enhance work.

Education and Qualifications Required:

5-7 years of analytics solution development or product ownership and technology experience

Understanding of supply chain industry standards in the analytics area

The successful candidate is a problem solver with excellent business acumen, knowledge and understanding of enterprise data and analytics systems, with hands-on coding skills.

Proven ability to sift through data, identify critical information, analyze, and develop solution options

Familiarity with cloud based data and analytics tools, services, warehouses

Understanding of the Agile principles and methodologies and how they're applied in workplace culture

Self-directed and comfortable working in ambiguous environments

Ability to define source to target mapping, functional specifications and other documentation

Experience working as a member of a larger cross-functional Agile team. Design and implement features in collaboration with product owners, business partners and engineers using Agile / Scrum methodology

Ability to solve complex problems and take a new perspective on existing solutions

Strong presentation, written, and verbal communication skills

Experience with analytics and data engineering best practices

Ability to influence outcomes across highly aligned, loosely coupled solutions

Experience working in a distributed / cloud scalable environment particularly AWS

Please apply online.

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