Consultant - Analytics Innovation

Altman Solon-posted 2 months ago
Full-time • Mid Level
Boston, MA
101-250 employees
Professional, Scientific, and Technical Services
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Altman Solon is a 600+ -person strategy consulting group that focuses exclusively on the telecommunications, media and technology (TMT) related sectors. As the largest global TMT strategy firm, we assist clients in fast, high-impact, confident decision making. We enable clients to seize new opportunities, improve performance, and increase shareholder value within complex and converging industries. The Analytics Innovation Practice at Altman Solon delivers actionable, data-driven results to our clients. Our Analytics Innovation Team ('AI Team') is a data science and analytics technology group that is focused on developing a suite of advanced analytics products and supporting business strategy consulting teams to meet the evolving needs of our clients.

  • Partner with internal teams and external clients to understand business objectives, relevant KPIs, and insight needs
  • Formulate clear analytical hypotheses and translate business problems into data questions and analytical approaches
  • Extract, clean and transform complex datasets to support modeling and analysis
  • Identify, evaluate, test, and solve data quality issues; documenting findings and corrective actions
  • Build, evaluate and optimize state-of-the-art algorithms using machine learning and artificial intelligence including traditional and generative AI
  • Develop audits to ensure the accuracy and quality of statistical models prior to delivery to clients
  • Develop intuitive visualizations and dashboards that clearly communicate findings
  • Prepare and present compelling analytical presentations and effectively communicate complex concepts to clients
  • 3-4 years' experience analyzing and transforming data using SQL or Python
  • 3-4 years' experience automating repetitive workflows using Python, SQL, Bash or similar
  • Experience with data preparation for statistical or machine learning models
  • Experience working across multiple platforms and distributed systems such as AWS S3/EC2/Redshift, Azure, Google Cloud Platform, Databricks, Snowflake, Qubole
  • Knowledge of data ETLs and scheduling (Apache Airflow, AWS Glue, DBT, Alteryx)
  • Experience working with end users to conduct needs assessment and user testing
  • Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
  • Thinking critically and commercial problem solving
  • Attention to detail and time management delivering high quality work while meeting deadlines.
  • Experience working with and running ETLs on traditional relational databases - MySQL, PostgreSQL, MSSQL, Oracle SQL
  • Experience using Apache Spark
  • Experience publishing to BI solutions such as Tableau, Qlik, Looker, or Power BI
  • Knowledge of geospatial data management and analysis
  • Compensation: $148k + 20%
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