Data Analyst

Skan AI; United States; Hybrid; USD 80,000 - 110,000; Full time

Job summary

A data analytics company is seeking a skilled Data Analyst in the United States to create actionable insights from complex data. The role involves developing customer-centric dashboards, conducting advanced data mining, and collaborating with cross-functional teams. Candidates should have over 6 years of experience in data analysis and proficiency in tools like SQL and Power BI.

Qualifications

• 6+ years of experience in business intelligence or data analysis.
• Hands-on expertise in Databricks or Snowflake.
• Proficiency in SQL and data warehousing techniques.

Responsibilities

• Design and refine Power BI dashboards for customers.
• Develop and track customized key performance metrics.
• Conduct advanced data mining and analysis.

Skills

SQL

Microsoft Power BI

Data analysis

Data mining

Communication skills

Analytical thinking

Collaboration

Tools

Databricks

Snowflake

Python

Power Pivot

SSIS

SSRS

SSAS

Job description

Data Analyst at Skan AI

We are seeking a skilled Data Analyst to transform complex data into actionable business insights, delivering intuitive dashboards and advanced analytics solutions that drive measurable value for our customers. In this role, you will partner with Customer Success and Implementation teams to design customer‑facing analytics, standardize value delivery frameworks, and uncover data‑driven opportunities that enhance business performance and decision‑making.

Key Responsibilities

• Customer‑Centric Dashboards: Collaborate with customers to design, build, and refine Power BI dashboards that transform complex data into clear, actionable insights, demonstrating ROI and performance improvements.
• KPI Development and Tracking: Develop and monitor customized key performance metrics and KPIs (e.g., Net Promoter Score, First Pass Rate) tailored to customer needs, ensuring alignment with business objectives.
• Advanced Data Mining: Conduct advanced data mining and analysis using SQL and data warehousing techniques to uncover trends, correlations, and insights that drive business improvements.
• Operational Insights: Analyze operational datasets to discover deep, actionable insights that deliver measurable value to customers, enhancing process efficiency and effectiveness.
• Innovative Visualization: Experiment with advanced visualization techniques and infographics in Power BI to maximize data clarity and actionability for both technical and non‑technical stakeholders.
• Cross‑Functional Partnership: Work closely with Customer Success, Implementation, and Data Science teams to identify data‑driven process improvements and innovate new value drivers from Skan.ai’s platform.
• Customer Value Engagement: Participate in customer value engineering meetings to gain firsthand insights into business value requirements, ensuring analytics solutions align with customer goals.
• Standardized Frameworks: Contribute to the development and standardization of Skan.ai’s value engineering framework, creating industry‑specific templates and report structures to streamline value delivery across projects.
• Actionable Insights: Translate complex data into compelling, data‑driven stories that support strategic business decisions and enhance customer outcomes.
• Continuous Innovation: Collaborate with the Data Science team to explore new analytical approaches, leveraging emerging tools and techniques to unlock additional value from data.

Qualifications and Skills

• Experience: 6+ years of experience in business intelligence, data analysis, or a related field, with hands‑on expertise in Databricks/Snowflake and Microsoft Power BI.
• Technical Proficiency: Strong proficiency in SQL, data warehousing, and online analytical processing (OLAP), with expert knowledge of the Microsoft BI stack (Power Pivot, SSIS, SSRS, SSAS). Proficiency in Python for data parsing, structuring, and transformation to support advanced analytics workflows.
• Dashboard Expertise: Demonstrated ability to create intuitive, user‑friendly dashboards that effectively communicate process insights to diverse audiences.
• Business Process Analysis: Proven track record of conducting business process analysis and research across various industries, with experience in process mining or process analytics.
• Value Engineering: Experience in value engineering or business value analysis, with the ability to analyze economic and corporate trends to support value‑based discussions.
• Communication Excellence: Exceptional communication skills, with the ability to distill complex data insights into clear, actionable recommendations for both technical and non‑technical stakeholders.
• Analytical Mindset: Strong analytical thinking with a focus on translating data into actionable business recommendations that drive measurable outcomes.
• Collaboration and Independence: Ability to work independently while effectively coordinating across organizational boundaries in a fast‑paced, dynamic environment.