Vacancy expired!
- Collaborate creatively with our client account teams to grow existing and build new client relationships with some of the most exciting brands in the world
- Show a bias to action through high quality work delivered on time and on budget to our clients
- Participate in business development pursuits as a subject matter expert in Data Strategy, Data Architecture and Analytics
- Perform lead architect responsibilities on a variety of analytics projects, ranging from data engineering to cloud to data viz to data strategy.
- Mentor and lead junior team members in analytics delivery architecture best practices.
- Provide strategic thinking, solutions, roadmaps and project leadership for all data and analytics work.
- Be a thought leader in data analytics demonstrated by blog postings or white papers
- Adopt and communicate new concepts, ideas, techniques and best practices including prototyping new architecture methods, tools and products that might provide future value to our clients
- Participate in project reviews to insure architectural direction is continually followed
- In general, be a SME in Data Visualization and Enterprise Information Management, be a great project leader, work inclusively and collaboratively with project and account teams, and contribute to North Highland Data and Analytics being a world class provider in this space
- At least 8 years of hands-on data analytics experience
- Demonstrated track record of successful consulting engagement experience including a role in managing and interfacing with senior level client executives.
- Motivated self-starter enjoying the fast-paced world of analytics consulting.
- Bachelor's Degree in Information Systems, Statistics, Computer Science or Mathematics
- 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, etc.
- 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, unsupervised clustering, analysis of unstructured data)
- Solid SQL skills - via exposure to RDBMSs such as Amazon Redshift, Google Cloud BigQuery, SQL Server, Oracle, Teradata, postgres, etc.
- Familiarity with cloud technologies - Data warehouse (BigQuery, RedShift, Snowflake, Synapse) / cloud storage / data lake (GS, S3, Athena, ADLS) / data science environments (Spark, Databricks, Sagemaker, AzureML, etc.)
- Working knowledge of data engineering technologies - Airflow, 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.
- Ability to travel freely (as needed) to fulfill client requirements and project needs.
- Master's degree in MIS or Analytics
- Professional certifications in data technologies (public cloud platforms, BI tools, 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!