Kelly Services Sr. BI Analyst in Ann Arbor, Michigan
Ann Arbor, MI 48105 USA
Duration: 6 months
The Senior Business Intelligence Analyst is responsible for designing and building analytics-based tools which are technically sophisticated yet easy to understand and use by business teams, in support of strategic initiatives and ongoing business processes for XPO Logistics.
The key KSAs needed for this project are:
Familiarity with MicroStrategy (FreeForm SQL reporting, Dashboard design, Intelligent cube, Schema Design and Development)
Exceptional SQL skills (Query design, Performance tuning, Data model knowledge, etc.)
Ability to understand Business processes and connect it back to the data
Data validation skills
Good communication skills
Identify, lead, and deliver efforts to build reports, visualizations, and dashboards using BI tools and practices, with solution designs that leverage statistical approaches, machine learning, and related disciplines through the use of industry standard tools, libraries, and approaches.
Engage with stakeholders across the organization to align priorities, communicate solution design tradeoffs and recommendations, and build and execute development plans.
Design user interfaces, tool screens, and end user workflows to maximize understandability of information, ease of use, and alignment with XPO aesthetic and usability standards.
Continuously improve technical design patterns, workflows, and tools—defining and enforcing standards when necessary to sustain the platform’s effectiveness and sustainable, and experimenting with and promoting adoption of new tools and approaches when appropriate.
Mentor other team members and partners on technical skills, best practices, problem solving approaches, and standard patterns used at XPO Logistics—both formally in structured group settings and informally in one-on-one and small group sessions.
Proactively generalize and share technical approaches and best practices among other developers, and simplify and communicate success stories to broader audiences across the company.
Support end users to ensure they have reliable access to and understanding of data they need to trust to do their jobs effectively.
Ability to lead the overall delivery plan and execution across supporting team members for assigned project work; daily meetings within immediate work group and proactively communicate status and progress of project work and when necessary, mentor and coach teammates in business and technical knowledge
Experienced in analyzing large, complex, multi-dimensional datasets with data querying languages (e.g. SQL), BI Tools (MicroStrategy, PowerBI, Tableau, etc.), programming languages (e.g. Python, Java, Scala, etc.), statistical/mathematical software (e.g. R, Weka, SAS, Matlab)
Ability to use best practices and principles in SQL, query design, data validation/automation, analytic functions and understand differences between various database architectures and implementations, such as Netezza, Oracle, Postgres, Teradata, DB2, SQL server, and/or MS Access.
Experience with machine learning, such as k-nearest neighbors, random forests, ensemble methods and their corresponding implementation packages in R (Caret, RandomForest, Rweka, etc.), Python (SciKit-Learn, TensorFlow, Keras, NLTK, etc.)
Solid understanding of Data Warehouse concepts including patterns for time variance and generic vs. explicit data structures, standards-based approaches for object names and data types, and using logical data models to document and explain business objectives
Experience in dealing with both structured and unstructured data, and Hadoop or similar technologies to recognize patterns within data and generate insights and deliver value to the organization
Knowledge of Geographic Information Systems (GIS) – geospatial data, GIS analysis and workflow, and cartographic and graphic design principles.
Familiarity with streaming analytics using tools such as Spark, Kafka, Storm, etc. and cloud services like AWS, Azure cloud, etc.
Minimum Required Education: Bachelor’s degree in mathematics, engineering, computer science, or related.
Minimum Required Experience: Five (5) years experience in business intelligence and data analytics, delivering business solutions that rely on effective availability, usability, and understandability of data and analytical workflows.
Desirable Education/Experience: MBA or Master’s degree in mathematics, engineering, computer science, or related. Five (5) to Seven (7) years of hands on experience delivering business intelligence and data analytics solutions that involve statistical modeling or machine learning, the use of associated R/Python libraries and tooling, and which emphasize effective design and usability for end users.
CERTS/LICENSES (none required, but desired):
R / Python Certifications
Certified Business Intelligence Professional from TDWI
BI and analytics coursework completed from Coursera, Udacity, Data Camp etc.
Contract assignment for OMS Audit Project.
Why Kelly ® ?
With Kelly, you’ll have direct connections to leading IT organizations in the best companies around the globe—offering you the chance to work on some of today’s most intriguing, innovative and high-visibility projects. In a field where change is the only constant, our connections and opportunities will help you take your career exactly where you want to go. We work with 95 of the Fortune 100™ companies, and more than 9,000 IT hiring managers turn to us each year to access the best talent: people like you.
Last year we found 10,000 opportunities for IT professionals. Let us help advance your career today.
AboutKelly Services ®
As a workforce advocate for over 70 years, we are proud to have a role in managing employment opportunities for more than one million workers around the globe. We employ 550,000 of these individuals directly with the remaining workers engaged through our talent supply chain network of supplier partners. Revenue in 2015 was $5.5 billion. Visit kellyservices.com and connect with us on Facebook , LinkedIn and Twitter .
Kelly Services is an equal opportunity employer including, but not limited to, Minorities, Females, Individuals with Disabilities, Protected Veterans, Sexual Orientation, Gender Identity and is committed to employing a diverse workforce. Equal Employment Opportunity is The Law. at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm