Sia Partners-posted 2 months ago
Full-time • Senior
New York, NY
1,001-5,000 employees
Professional, Scientific, and Technical Services

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia's AI & Data Business Unit is the powerhouse of our firm's innovation-merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia's AI & Data team, you'll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.

  • Extract data from various sources, including internal databases, data warehouses, ETL Tools and third-party platforms
  • Clean, transform, and prepare data for analysis, ensuring data quality and consistency
  • Develop and maintain ETL (Extract, Transform, Load) processes to automate data workflows
  • Develop and maintain post-ETL validation tests
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
  • Develop and apply statistical methods to analyze data and draw meaningful conclusions
  • Build and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics
  • Use data visualization techniques to effectively communicate insights
  • Develop predictive models or forecasting models as needed
  • Adhere to data governance and security policies and procedures to ensure data security and privacy
  • Maintain data documentation and contribute to the development of data dictionaries and metadata repositories
  • Stay up to date with industry best practices and emerging trends in data analysis
  • Understand and comply with GDPR/CCPA and data privacy, retention, and confidentiality policies
  • Present findings and recommendations to stakeholders at all levels of the organization
  • Translate complex technical concepts into clear and concise language for non-technical audiences
  • Collaborate effectively with cross-functional teams to understand business needs and provide data-driven solutions
  • Mentor and guide more junior analysts, providing technical expertise and support
  • Bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related area
  • 10+ years of experience in a data analysis role, with a proven track record of delivering actionable insights
  • 2 or more years client facing consulting experience
  • Proficiency in SQL is essential
  • Familiarity with current data platforms including SQL Server, Oracle, PostgreSQL, DB2, or MySQL
  • Experience with data warehouses like Snowflake, Data Bricks, Redshift, or BigQuery
  • Experience with APIs and Datasets such as MS Dynamics, Oracle CRM, or Salesforce
  • Experience with ETL Tools like dbt, Airflow, StreamSets, NIFI, or Kafka
  • Familiarity with Cloud Platforms such as Azure, AWS, GCP, Oracle, or IBM
  • Experience with Source Control like Git or GitHub/Gitlab compatible platforms
  • Experience with Machine Learning Models such as Regression, Decision Trees, Neural Nets
  • Strong experience with data visualization tools like Tableau, Power BI, or Looker
  • Experience with programming languages such as Python or R for data analysis
  • Familiarity with statistical software packages like SPSS, or SAS is a plus
  • Experience with data warehousing concepts and technologies
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Strong preference for experience in financial services including banking, brokerage, insurance, and capital markets
  • Basic understanding of statistical concepts such as hypothesis testing and probability (Bayesian) preferred
  • Annual base salary starting at $162,000.00, commensurate with experience and qualifications
  • Annual performance based discretionary bonus
  • 3 Medical plans
  • Dental and Vision
  • Life, AD&D and other voluntary insurance
  • 401K retirement plan with 4% matching and 100% vested upon enrollment
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • 100% paid parental leave for all new parents with eligible tenure
  • Generous Paid Time Off (PTO) policy
  • 9 company holidays plus 1 floating holiday
  • College savings and student loan repayment assistance
  • Monthly cell phone stipend
  • Access to wellness programs at no cost if enrolled through Medical plan
  • Employee Assistance Program at no cost
  • Free confidential counseling and emotional support services
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