Principal Consultant, Data Visualization

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Lovelytics

501 - 1000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 Series unknown on 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.

📋 Description

• Utilize consulting and technical skills to be able to work in a client-facing project environment independently. • Collaborate with other team members to successfully deliver on projects. • Work effectively and directly communicate with both internal and client and/or partner teams. • Develop full ownership of your execution on client engagements, you'll become involved in the project planning and solution stages of engagements as well. • Edit, write, and troubleshoot multi-layered and challenging data calculations • Create accurate and advanced analytics dashboards (PowerBI) that meet the requirements of clients that maintain logic and integrity • Develop wireframes and/or mockups for use cases using tools like Figma, Balsamiq, etc • Implement data governance practices, resulting in improved data quality. • Analyze data trends and contribute to data transformation preparation. • Work with engagement leads and directors to gain exposure in the design and architecture of solutions

🎯 Requirements

• B.S. in Computer Science or equivalent • 4-6 years' experience in a BI/Analytics role. At least 2 years working directly with clients and/or external stakeholders. • Experience developing semantic layer/reporting layer/gold layer data sources for analytics use cases using tools like: SQL, SSIS, PowerQuery, Tableau Prep, Alteryx, and Knime. • Experience building actionable analytics using Power BI • Programming experience in Python for data analysis, automation, or data visualization is preferred. • Familiarity with IBM Cognos Analytics is a plus • Ability to troubleshoot and QA analytical dashboards to ensure they meet requirements and maintain logical integrity • Exposure to and experience with Databricks a plus • Excellent verbal and written communication skills • Understands and utilizes Lovelytics tools and client tools

🏖️ Benefits

• Exciting projects with great clients in varying departments and verticals across the world • The ability to work closely with experienced data engineers and quickly grow and expand your skillset • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better • A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian

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