Sr. Azure Data Analyst

1 week ago

Pune, Maharashtra, India Fusemachines Full time

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries.

Founded by Sameer Maskey, Ph.

D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities.

With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide.

At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.

About the role This is a remote-based, contract position for 1 year with a possibility of extension. The Senior Azure Data Analyst is responsible for building Business Intelligence (gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making within the organization), with knowledge of Machine-readable Files (MRF),

to support a solution for Pricing Information Published under the Transparency in Coverage (TiC) Final Rule.

We are seeking a talented and experienced Data Analyst with expertise in PowerBI, Azure, Snowflake, and Healthcare Insurance to join our team.

The ideal candidate will work in an Agile environment, contributing to the architecture, design, implementation and testing of Business Intelligence in the Healthcare Insurance Industry.

This role involves hands-on coding and collaboration with multi-disciplined teams to achieve project objectives. Qualification & Experience Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science.

At least 3 years of experience in data analytics, with a focus on business intelligence and data visualization, delivering large scale projects and products for Data and Analytics in the Healthcare Insurance industry.

At least 3 years of professional experience developing and implementing enterprise-scale reports and highly visual, intuitive dashboards. Microsoft tech stack mandatory (Azure, Power BI, Power Automate, Report Builder, SQL Server, DevOps, GIT) and Snowflake.

Preferred Certifications:

Microsoft Certified:

Azure Fundamentals Microsoft Certified:

Power BI Data Analyst SnowPro Advanced Data Analyst Required skills/Competencies Highly skilled in data quality, triage analysis and obtaining business insights, desirable specialization in Healthcare Insurance.

Highly skilled in Data Visualization, specifically in PowerBI. Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries. Proficient with Relational Databases (Oracle, SQL Server, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.).

Knowledge in Data Warehousing, data lake and data lake house, solutions in Azure (blob storage and Azure Data Lake Storage Gen2), Databricks and Snowflake.

Good programming Skills in one or more languages such as Python. Expertise in data cleansing, transformation, and validation. Good understanding of Data Modeling and Database Design Principles.

Being able to design and implement efficient database schemas that meet the requirements of the data architecture to support data solutions, for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive) within Snowflake.

Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.

Attention to Detail:
Being meticulous and paying attention to detail is critical in data analysis.

Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work.

Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures. Strong understanding of the software development lifecycle (SDLC), especially Agile methodologies.

Strong knowledge of SDLC tools and technologies Azure DevOps and GitHub, including project management software (Jira, Azure Boards or similar), source code management (GitHub, Azure Repos or similar), CI/CD system (GitHub actions, Azure Pipelines, Jenkins or similar) and binary repository manager (Azure Artifacts or similar).

Good understanding of Data Quality and Governance, including implementation of data quality and integrity checks and monitoring processes to ensure that data is accurate, complete, and consistent.

Effective communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data engineers, data scientists, developers, and operations teams.

Essential to convey complex technical concepts and insights to non-technical stakeholders effectively. Self-motivated with the ability to work well in an agile team. Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive. A willingness to stay updated with the latest services, Data Analytics trends, and best practices in the field.

Responsibilities Data Collection and Modeling:
Gathering and exploring data from various sources such as EDWH, databases, spreadsheets, APIs, and other relevant sources to support business requirements, and create the corresponding analytical layer

Data Cleaning and Preprocessing:
Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis.

Data Analysis:

Proactively applying statistical techniques and analytical methods to examine data, test hypothesis and identify patterns, trends, relationships and insights that inform business decisions, identifying critical metrics and KPIs, to answer complex key questions from stakeholders with an eye for what drives business performance, to draw meaningful conclusions from data and make data-driven recommendations.

This will involve using tools like SQL, PowerBI, Python or specialized data analysis software.

Data Visualization :

Design, build and maintain rich interactive visual representations of data through charts, graphs, and dashboards from multiple data sources to communicate insights effectively to stakeholders.

Using tools like PowerBI and Python libraries (e.g., Matplotlib, Seaborn).

Reporting:
Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders.

Data Governance including Quality Assurance:
Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures.

This involves identifying and resolving data discrepancies or errors in:
MRF, and pricing information

Data Mining:
Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis. Identifying and implementing best practices for business intelligence, data visualization, reporting and analysis, building self-service capabilities for business users.

Business Intelligence Reporting Capabilities, in real-time and supporting filtering and drill-down capabilities, for MRF data, supporting client-facing teams regarding failures at each step in the data flow.

Including auditing capabilities so that stakeholders can easily determine why a specific negotiated rate does not appear in the pricing tool.

Work in an agile team focused on Healthcare Insurance projects.

Collaborating with Teams:

Working closely with cross-functional teams, such as business analysts, data engineers, data scientists and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges.

Maintain documentation of their work, including code. Communicating to the different stakeholders the progress of the tasks assigned and discussing any issues or blockers.

Continuous Learning:
Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency.

If you are a data-driven individual with strong skills and experience in PowerBI and Healthcare Insurance, we encourage you to apply for this exciting opportunity.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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