NBC (TV Channel - Media company).
H1B's Ok if they transfer VIsa after the contract ends.
Data Architect / BI Architect / Data Scientist - blend
Contract to hire (3-6 months) Must be interested and willing to join company.
Location- Minneapolis, MN (20 min west)
Client- Leader in their space with 280 employees and the benefit of their size allows increased ability for your voice to be heard and your impact realized.
BOTTOM LINE – "In a nutshell”
Manage a project team 3-6 (ETL developers, marketing, BI and web individuals) but also must be very hands on able to work and instruct the technical team, and find decision making incites in the data and deliver to the business stakeholders about how to more effectively analyze the data to drive better consumer experience and more revenue from the company ecommerce web presence.
· Pull data together behind the scenes. Design, Develop and ingest data for the businesses benefit
· Customer Analytics - Data into one area - run into an E-commerce site
· Skilled in project implementation & get requirements
· Providing insights/decisions with data
· Machine learning algorithm for data scientist
· BI - Looking at data, what the business is asking for based on data
· Microsoft Azure files/BIG DATA - nice to have not required
· Microsoft SQL Database - nice to have not required
· Experience with validations tools, PYTHON - can teach them that - - nice to have not required
· Must be Good Communicator, Good Lead able to Interact with customer
Summary:
OVERVIEW
Responsible for collaborating with business to answer business question using data and data mining techniques. Must have technical skills to design, develop data integrations into data warehouse and data lake. Work in iterative processes with the business and validate findings. Will be responsible for big data projects, technology, and teams.
ESSENTIAL JOB FUNCTIONS
· Must have strong ETL background using tools such as Informatica, Data Factory
· In depth knowledge of relational databases designs
· Experienced in data visualization tools such as Tableau, PowerBI, Business Objects
· Builds and maintains machine learning models, including extracting, and combining data from multiple sources using languages such as SQL, R, SAS, Python.
· Experience with and comfort in discussing the role of analytics in customer lifecycle analytics
· Work with business stakeholders to identify what the business requirements are and the expected outcome. Model and frame business scenarios that are meaningful which impact business processes and decisions.
· Work in iterative processes with the business and validate findings. For example, validate discovered correlations across data with the business
· Working knowledge of performance tuning.
· Develop and maintain metrics to provide objective evaluation of teams, systems, and projects.
· Accountable for meeting delivery dates on assigned projects and tasks.
· Work with the data steward to ensure that the information used follows the compliance, access management and control policies of the organization
· Support the business during after-hours as needed.
· Other duties as assigned.
QUALIFICATIONS / KNOWLEDGE, SKILLS & ABILITIES
· Bachelor's degree (B.S.), or equivalent combination of education and experience.
· At least 10 years' experience in data warehouse and/or big data framework .
· At least 5 years' experience in Project Management and Business analysis.
· Displays a high degree of initiative, energy, dedication, and innovation on a regular basis.
· Strong desire to deliver quality service and results.
· Displays an outstanding knowledge of the business and a comprehensive understanding of related systems.
· Exhibits professionalism, honesty, integrity, respect for every individual, and teamwork.
· Strong interpersonal skills and the ability to develop positive working relationships with all levels of the enterprise.
· Displays a propensity for developing and participating in a team environment.
· Ability to clearly communicate to all levels of the organization.
· Strong verbal and written communication skills.
· Strong analytical skills
· Ability to travel if needed
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Last updated on Apr 21, 2017