Vacancy expired!
- Use knowledge of data analytics to increase client impact, develop your skill-sets and grow your career
- Work with new and emerging technologies
- Work on advanced analytical projects for clients under supervision of lead data scientist
- Effectively communicating with internal teams and external clients to understand the business problem, work through solutioning, and present analytic findings to the client
- Building effective visual presentations and analytical dashboards using PowerBI, Tableau and other tools to present analytical findings
- Handling large volumes of data in a variety of formats for preparation of data insights
- Rapid prototyping and exploratory analytical work in the North Highland Insight Lab using commercial, public and private data
- Being a part of a collaborative team working to creatively solve complex technical and business problems that in the end drive real business value
- Make your mark by working directly with clients as a visible and engaged member of the team
- Collaborate across disciplines to deliver creative solutions to client challenges
- Actively contribute to business development proposals and the identification of new opportunities
- Establish positive relationships with clients and peers that build credibility, foster your support network and empower career development
- Develop a deeper understanding of our firm's shared vision to build our clients capabilities and unleash their potential
- At least 3-7 years of hands-on data experience
- Motivated self-starter enjoying the fast-paced world of analytics consulting
- Bachelor's Degree in Information Systems, Computer Science or Computer Engineering or other related fields
- Solid interpersonal and communication skills (written and verbal) to technical and non-technical audience of wide variety of levels including client-facing senior management
- Analytical scripting language skills, such as Python, R, SAS
- Data Visualization tools: Tableau, Qlikview, Power BI
- Familiarity with the scripting data and machine learning ecosystems - (Jupyter Notebooks, scikit-learn, SciPy, NumPy, pandas, Matplotlib, TensorFlow, etc.)
- Experience with wide array of analytical approaches (correlation analysis, predictive and explanatory modeling, data mining, unsupervised clustering, analysis of unstructured data)
- Solid SQL skills via exposure to RDBMS's such as Amazon Redshift, Google Cloud BigQuery, SQL Server, Oracle, Teradata, postgres, etc.
- Familiarity with cloud technologies Data warehouse (BigQuery, RedShift) / cloud storage (GS, S3) / app engine (Google Cloud Platform App Engine, AWS Elastic Beanstalk)
- Experience with "Big Data" environments
- Working knowledge of data movement ETL technologies Stored procedures, SSIS, Informatica, Alteryx
- Ability to gather and document business requirements and translate them to technical requirements
- Understanding of business functions (sales, finance, marketing, operations) and how they relate to business intelligence solutions
- Has the investigative mindset and related skills that can be used with any number of tools to explore available data
- Ability to self-direct and manage priorities; ability to handle issues that are not well-defined and/or conflict with available information; ability to successfully navigate ambiguity to resolution
- Willingness to travel to fulfill client requirements and project needs
- Master's degree in MIS or Analytics
- Professional certifications in data technologies (BI tools, cloud technologies, ETL, etc.)
- Familiarity with dimensional modeling techniques (star schemas, facts, dimensions, etc.)
- Ability to build and maintain relationships across the organization, and influence senior management, peers and staff through an inclusive style and recognition of their abilities to achieve results
Vacancy expired!