Senior Consultant - Data & Analytics

Qvest US

New York (NY)

Hybrid

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Medical, dental & vision benefits
401k matching
Flexible vacation
Training sponsorship

Job summary

A leading consulting firm in New York is looking for a Senior Consultant - Data & Analytics to drive data-based decision making for clients. This role involves project management, development in SQL and Python, and client interaction. Candidates should have over 5 years of experience in consulting, particularly in data analytics. The firm offers a collaborative culture and strong benefits.

Qualifications

  • 3+ years Project Management, Process, Implementation experience.
  • 5+ years in a consulting or data-focused role.
  • Hands-on experience with SQL and data warehousing.

Responsibilities

  • Participate in all core project phases.
  • Perform hands-on development in SQL and Python.
  • Build and maintain strong client relationships.

Skills

SQL
Data visualization (Tableau, Power BI)
Project Management
Agile methodology
Client-facing activities

Education

Bachelor’s degree in related field

Tools

Snowflake
Databricks
Teradata
Redshift
MS SQL Server

Job description

Join to apply for the Senior Consultant - Data & Analytics role at Qvest US

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.

Who We're Seeking

Qvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands‑on technical data consultant who can successfully work with client projects, teams, and stakeholders.

What You'll Do
  • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment
  • Perform hands‑on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Be the expert in various client meetings such as stakeholder interviews & workshops
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Proactively identify risks, issues and provide mitigation strategies
  • Build and maintain strong client relationships
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to participate in a best‑in‑class data practice
  • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions
  • 5+ years in a consulting role or a data‑focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands‑on experience with business driven / self‑service BI, using tools similar to Tableau, PowerBI, Looker, etc.
Preferred Additional Experience
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Ability to present data solutions to business stakeholders with clear business acumen
  • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields
  • Familiarity with dbt ( https://getdbt.com )
Travel Requirements

Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.

Remote & Hybrid Work

While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.

Life at Qvest

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a Best Place to Work, a Great Place to Work, Fastest Growing and A Jewel.

Equal Employment Opportunity

Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

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