Remote SR. Data Analyst

iSphere is currently seeking a Senior Data Analyst for a full-time opportunity to join our team! Data Analysts can analyze, reverse engineer, and understand complex data environments, and then document, summarize, and communicate effectively to a diverse group of stakeholders. They understand multiple technologies within the data & analytics ecosystem. Where they do not have direct hands-on experience, they can still be self-guided and tenacious in pursuit of project objectives, either through self-study or enlisting assistance from colleagues. Candidates should have experience analyzing, understanding pulling, joining, and profiling data in a variety of domains. They should also be familiar with BI tooling and how to reverse engineer existing client assets. This is a high visibility, high touch consulting role that blends technical and communication skills.

Responsibilities

• Interfacing with client stakeholders at various levels and roles in the organization. Being able to listen, understand their needs, ask probing questions about their environment, and collaborate with them to better understand technical assets. Ability to navigate sensitive topics and inter-team dynamics with confidence and composure .
• Analyzing, designing, and developing premium technical data solutions for clients in a highly iterative business centric delivery model, where needed .
• Synthesizing, summarizing, and documenting findings for client stakeholders.
• Managing and meeting delivery milestones and service level agreements with clients and stakeholders.
• Contributing positively to our team culture & the Business Insights Guild by joining Communities, sharing best practices, and participating in team events.
• Being a strong self-ad vocate in partnership with your Career Advisor to structure and implement your career Learning Path .

Qualifications

• Ability to pull multiple data types and formats, cleanse data, and create data pipelines in SQL, R, Python, Alteryx, or other ETL technology. Strong understanding of best practices in data architecture and processing.
• Intermediate to Advanced SQL skills.
• Strong knowledge of relational and dimensional data models.
• Strong knowledge of data lake & big data architectures.
• Baseline understanding of cloud hyperscaler architectures (AWS, Azure, GCP) & data extraction.
• Intermediate level PowerBI or Tableau. In lieu of PowerBI or Tableau, alternative enterprise BI platforms are acceptable but not preferred.
• Ability to reverse engineer business solutions created in MS Excel or MS Access.
• Intermediate to Advanced documentation skills, leveraging business productivity software like MS Office, including Visio.
• Strong written and verbal communication skills (English)
• Ability to communicate with internal and external customers (including communicating technical information to nontechnical audiences)
• Ability to work collaboratively; be diplomatic and influence stakeholders, vendors, and global teams
• Strong logical, analytical, and organizational skills with meticulous attention to detail and the keen ability to anticipate and avoid problems
• Strong tenacity and ability to overcome barriers due to technology, process, or people
• Bachelor’s degree in Computer Science, Math, Statistics, Business Finance, Accounting or other relevant program

Preferred Qualifications

• 5+ years of related experience working in Data & Analytics, Business Analytics, or Business Intelligence .
• Intermediate knowledge of Snowflake
• Direct exposure to AWS, S3, Kafka, & Databricks
• Retail, tech, telecom, healthcare, or manufacturing experience