Salary
💰 $140,000 - $160,000 per year
Tech Stack
AWSAzureCloudHadoopNoSQLOraclePythonSparkSQLTableau
About the role
- Work closely with clients to translate their priorities into innovative data and analytics strategies that support business priorities and achieve desired outcomes.
- Advise clients on leveraging emerging technologies such as cloud services, data science, and blockchain to build competitive advantage.
- Work on projects addressing data strategy, data governance, architecture, technology modernization, business transformation, and analytics adoption.
- Meet with clients to understand needs, perform analyses, formulate hypotheses, and develop actionable plans.
- Collaborate with client sponsors and leaders on design of enterprise-wide platforms for rapid evaluation and implementation of analytical use cases.
- Identify high-priority use cases and design enterprise-wide data platforms with functional and technical teams.
- Develop enterprise data strategies and roadmaps with recommendations based on client needs and vendor solutions.
- Design operating models describing organization of resources and processes to execute strategic roadmap.
- Lead technical capability assessments, analyze results, and present recommendations.
- Develop and present business cases, lead workshops, and deliver compelling presentations to influence decisions.
- Plan and manage scope, activities, resources, and budget for assigned projects.
- Develop effective working relationships with clients and internal colleagues and support account teams in proposing solutions.
Requirements
- Minimum of Bachelor’s degree, preferably Master’s degree, in Business, IT, Computer Science, Quantitative Methods, Data Science, or related field.
- Minimum of 8 years of work experience in management consulting.
- Minimum of 2 years of experience in one or more industries (e.g., healthcare, financial services, technology, manufacturing, etc.).
- Practical knowledge of modern data and analytics technologies: Business Intelligence (Power BI, Tableau, Qlik); Machine Learning (R, Python, SAS, SPSS); Data Warehouse (SQL, Snowflake, Oracle, etc.); Big Data (Spark, Hadoop, NoSQL Databases, Data Lakes); Cloud Platforms (Azure, AWS, Google Cloud).
- Strong knowledge of relevant technology trends across the IT and digital landscape.
- Team oriented and collaborative working style.
- Demonstrated ability to plan, organize, and manage other consultants to achieve project objectives.
- Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks.
- Excellent oral, written communication, and presentation skills with ability to present technical issues to executives and non-technical audience.
- Strong proficiency in Microsoft Office (Word, PowerPoint, Outlook, Excel, Teams).
- Experience in an Agile environment.