Data Science Consultant open to hiring at Sr level

Through collaborative partnerships with key business stakeholders proactively solves business problems using the analytics lifecycle across domains. Serves as a business consultant for high profile data presentations and data analysis. Performs data manipulation and dataset preparation for business analysis and outcomes and summarizes data in a logical and understandable format. Collaborates with crossfunctional partners to drive successful data enabled improvement recommendations from definition through completion providing solutions and identifying risks.

Qualifications :

Required:

• For consideration you must meet one of the following educational/technical requirements:
• Masters degree in quantitative discipline such as statistics mathematics finance accounting computer science engineering or economics OR
• Bachelors degree in quantitative discipline such as statistics mathematics finance accounting computer science engineering or economics and 2 years equivalent work experience OR
• 6 years of direct and applicable work experience with specific experience in the analysis of databases and files using SQL dialects and statistical programming languages with specific experience utilizing data collection advanced formulas advanced joins analysis statistics and data presentation.
• Experience with business intelligence and analysis platforms such as MS Power Bi and Tableau.
• Demonstrated experience in working with large data sets and spreadsheets.
• Proficiency with complex data joins.
• Naturally curious with ability to drive business decisions and solutions.
• Effective communication skills both verbal and written with the ability to present complex information.
• Proactive selfstarter with demonstrated ability to manage priorities through effective time management skills.
• Detail oriented including a strong analytical/technical orientation.

Preferred:

• Masters degree.
• Prior experience with data manipulation hypothesis testing root cause diagnosis forecasting or modeling.
• Experience developing project roadmaps and timelines.
• Strong consultation and presentation skills.
• Have a passion for mentorship and coaching.
• Experience with SAP products including Business Objects.
• Thorough understanding of data warehousing.

Additional Information :

a. Demonstrate strong business knowledge by identifying complex business problems through discovery sessions and stakeholder interactions. Understand the project objectives and gather requirements to build a preliminary plan.

b. Research and gather appropriate data from various sources. Source extract assemble collate and consolidate data into reusable data assets using complex joins.

c. Profile and prepare data for analysis including the creation of derived elements and macros for processing efficiencies.    

d. Build execute and automate models to analyze business outcomes using tables graphs and charts as well as algorithms forecasts and trends.

e. Interpret results and identify key findings to quantify business value.

f. Develop narratives to summarize and convey findings to stakeholders. Make recommendations based on findings.

g. Be a go to person for analysis while being adept at quickly assessing the needs of multiple business partners with at times ambiguous requirements.

h. Manage multiple projects simultaneously and support corporate process improvement initiatives meeting aggressive timeframes. Participate in crossfunctional projects to optimally support the business.

i. Provide peer review and coaching within team and across other business areas.

j. Create update and maintain documentation and procedures for sourcing analyzing and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.

k. Other duties as assigned.

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