Job summary
Job post source
This job is directly from Sia
Job overview
The Senior Consultant Data Analyst role at Sia focuses on leveraging data analytics to provide actionable insights in Healthcare and Life Sciences, impacting client strategies and business improvements.
Responsibilities and impact
The role involves extracting, transforming, and analyzing data, developing ETL processes, building dashboards, ensuring data governance, and communicating insights to stakeholders while mentoring junior analysts.
Compensation and benefits
The position offers a salary range of $110,000 to $125,000 plus an annual discretionary bonus, comprehensive healthcare plans, 401(k) with 4% matching, paid time off, parental leave, wellness programs, and other benefits like cell phone stipend and flexible spending accounts.
Experience and skills
Candidates need 5+ years in data analysis with 2+ years client-facing consulting, proficiency in SQL, experience with data platforms, ETL tools, cloud platforms, data visualization tools, programming languages like Python or R, and strong analytical and communication skills; healthcare and life sciences experience is preferred.
Career development
Sia offers a collaborative environment with opportunities for professional growth in AI and data science, supported by R&D labs and cross-functional team collaboration.
Work environment and culture
Sia promotes a diverse, equitable, and inclusive culture with core values of excellence, innovation, teamwork, and employee well-being, supporting flexible workplace arrangements and fostering belonging.
Company information
Sia is a global management consulting firm founded in 1999, specializing in digital transformation and data science with 3,000 consultants across 48 locations in 19 countries, known for innovation in AI and data solutions.
Team overview
The candidate will join Sia's AI & Data Business Unit, a team of over 350 experts working on cutting-edge AI and data science projects with a strong focus on innovation and collaboration.
Job location and travel
Primary offices are in New York City, Charlotte, Seattle, and San Francisco with a hybrid work model requiring at least three days per week in-office for these locations; more flexible arrangements are available elsewhere.
Unique job features
The role offers unique opportunities to work with advanced AI, machine learning, and data science technologies within a leading consulting firm, supported by extensive R&D and innovation labs.
Company overview
Sia is a decentralized cloud storage platform that leverages blockchain technology to provide secure, affordable, and efficient data storage solutions. Founded in 2015 by Nebulous Inc., Sia operates by allowing users to rent out unused storage space from hosts worldwide, creating a distributed network. The company generates revenue through transaction fees and its native cryptocurrency, Siacoin, which facilitates payments between users and hosts. Sia's innovative approach challenges traditional cloud storage providers by offering enhanced privacy and cost-effectiveness. Its open-source nature and focus on decentralization make it a pioneer in blockchain-based storage solutions.
How to land this job
Position your resume to highlight your 5+ years of data analysis experience with a focus on client-facing consulting in Healthcare and Life Sciences, emphasizing actionable insights and business impact.
Emphasize technical skills such as proficiency in SQL, ETL tools, data visualization platforms like Tableau or Power BI, and experience with cloud platforms and data warehouses, reflecting the job requirements.
Apply through multiple channels including Sia's corporate careers page and LinkedIn to maximize your application's visibility and chances of consideration.
Connect on LinkedIn with members of Sia's AI & Data Business Unit or consultants in Healthcare and Life Sciences; use ice breakers like commenting on their recent AI-driven projects or expressing enthusiasm for Sia’s innovation in data science and consulting.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data extraction,' 'ETL processes,' 'predictive modeling,' 'healthcare analytics,' and 'client-facing consulting' to ensure it passes automated screenings.
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