Principal Advanced Analytics Analyst Jobs in New York

Serve as main point of contact for clients during project scoping, delivery and execution for relationship management, escalation, and future opportunities.

Field RFPs and coordinate efforts on proposal writing and submission to ensure high quality responses representing our global capabilities.

Represent capabilities at conferences and other industry events. Opportunity to host webinar-type sessions on industry-relevant thought leadership content.

Manage, grow and develop client relationships to achieve business development targets through proposals, upselling/cross-selling existing and prospective clients.

Medical Benefits, Dental Benefits, Vision Benefits

Accelerate the drug development cycle

Oversee administrative components of client account management.

Manage data projects from start to finish, ensuring successful, on time completion of work.

Delegates and manages work appropriately.

Mentor and manage 1-2 associates and train junior staff members.

4+ years of relevant experience in an in-house, government or consultancy environment.

Ability to manage many different projects at once.

Ability to work with all levels of management and ability to work well in cross functional settings.

Work with various InHome stakeholders to understand the business problems, compile requirements, assess the data strategy, and propose a solution.

Identify and pursue opportunities to improve InHome's data capabilities and process.

At least 3 years of experience in Data Analytics. Strategy or Business Operations experience is a plus.

Develop a detailed understanding of InHome's operations and business model .

Identify strategic areas of opportunity and provide recommendations to Senior Leaders by analyzing business metrics and extracting insights.

3-5+ years of professional experience in analytics utilizing SQL, data preparation tools and data visualization tools

Experience collaborating with partner teams to generate results that define organizational goals and KPIs.

Experience with SQL and cloud technologies like Google BigQuery, Databricks, Presto etc.,

Experience with data visualization tools such as Tableau, Looker, or Microsoft Power BI.

Data preparation, wrangling and cleansing using tools such as R/Python, Alteryx, KNIME, Tableau Prep or similar tools.

Perform deep dive analysis to influence metrics such as GMV, sellers, traffic, volume, and SKU performance to drive fulfillment strategic decisions.