Data Analytics Manager- Healthcare and Life Sciences at Sia Partners - United Kingdom

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

162000.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Extraction, Data Transformation, Data Analysis, Statistical Methods, Data Visualization, Predictive Modeling, SQL, ETL Processes, Machine Learning, Python, R, Tableau, Power BI, Data Governance, Communication, Collaboration

Industry

Business Consulting and Services

Description

Company Description 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. Job Description We are looking to meet talented candidates with at least two years of client-facing consulting experience in information management and business analytics using data to provide meaningful, actionable insights. These insights can help inform the most impactful customer product offers, marketing campaign strategies, servicing optimization, and/or manufacturing and production improvements. We are especially interested in meeting consultants with a background in Healthcare and Life Sciences. Key Responsibilities: Data Extraction and Transformation: 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. This includes handling missing values, outliers, and inconsistencies. Develop and maintain ETL (Extract, Transform, Load) processes to automate data workflows. Develop and maintain post-ETL validation tests Data Analysis and Modeling: Perform exploratory data analysis (“EDA”) to identify trends, patterns, and anomalies. Develop and apply statistical methods to analyze data and draw meaningful conclusions - regression analysis, hypothesis testing, etc. 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. Experience with tools like Tableau or Power BI Data Governance, Security, and Best Practices: 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. Communication and Collaboration: Present findings and recommendations to stakeholders at all levels of the organization, including senior management. Translate complex technical concepts into clear and concise language for non-technical audiences. Collaborate effectively with cross-functional teams – product managers, engineers, marketing managers – to understand business needs and provide data-driven solutions. Mentor and guide more junior analysts, providing technical expertise and support. Qualifications Education: Bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related area. Experience: 10+ years of experience in a data analysis role, with a proven track record of delivering actionable insights, and 2 or more years client facing consulting experience. Technical Skills: Proficiency in SQL is essential. Familiarity with current data platforms: Databases: SQL Server, Oracle, PostgreSQL, DB2, or MySQL Data warehouses: Snowflake, Data Bricks, Redshift, or BigQuery APIs and Datasets: MS Dynamics, Oracle CRM, or Salesforce ETL Tools: dbt, Airflow, StreamSets, NIFI, or Kafka or similar Cloud Platforms: Azure, AWS, GCP, Oracle, or IBM Source Control: Git or GitHub/Gitlab compatible platforms Machine Learning Models: Regression, Decision Trees, Neural Nets, or similar Basic understanding of statistical concepts such as hypothesis testing and probability (Bayesian) preferred Strong experience with data visualization tools like Tableau, Power BI, or Looker. Experience with programming languages such as Python or R for data analysis. Libraries like Pandas, NumPy, scikit-learn. Familiarity with statistical software packages like SPSS, or SAS is a plus. Experience with data warehousing concepts and technologies. Analytical Skills: Strong analytical and problem-solving skills. Ability to think critically and draw meaningful conclusions from data. Solid understanding of statistical concepts and methods. Communication Skills: Excellent written and verbal communication skills. Ability to present complex information clearly and persuasively. Proven ability to be a great teammate. Industry sector experiences: Strong preference for experience in financial services including banking, brokerage, insurance, and capital markets Alignment with Sia’s Core Values: Excellence, Entrepreneurship, Innovation, Teamwork, Care & Support, Employee Well-Being Additional Information Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation Annual base salary starting at $162,000.00, commensurate with experience and qualifications Annual performance based discretionary bonus Robust Health Coverage 3 Medical plans Dental and Vision Life, AD&D and other voluntary insurance Tax-Advantaged Accounts 401K retirement plan 4% matching and 100% vested upon enrollment Health Savings Account (HSA) Flexible Spending Account (FSA) Health, Dependent Care, Commuter Family Friendly Benefits 100% paid parental leave for all new parents with eligible tenure Building Healthy Families program if enrolled through Medical plan Time Off to Recharge Generous Paid Time Off (PTO) policy 9 company holidays plus 1 floating holiday Extras that Make Life Easier College savings and student loan repayment assistance Monthly cell phone stipend Access to wellness programs at no cost if enrolled through Medical plan, including: Gym membership reimbursement LiveHealth Online virtual care Personalized support from a Well-being Coach Employee Assistance Program at no cost Free confidential counseling and emotional support services On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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Responsibilities

The Data Analytics Manager will extract and transform data from various sources, ensuring data quality and consistency. They will perform data analysis and modeling to provide actionable insights and develop dashboards to track key performance indicators.