We are seeking a highly skilled and experienced Senior Data Analyst with expertise in data analysis, Python, Databricks, and ETL processes, particularly within the healthcare sector. As a key member of our new team, you will play an essential role in analyzing large-scale datasets, providing actionable insights, and ensuring the integrity and quality of data used across various systems. You will collaborate with cross-functional teams to shape data-driven solutions that support healthcare-related projects, leveraging Azure and Databricks for data processing and transformation. 8+ years of extensive experience with data analytics tools (such as SQL, Power BI, Tableau) and databases (e.g., SQL Server, Oracle, MongoDB), focusing on streamlining data processes and ensuring data quality. Experience in data analysis and Python, with a focus on optimizing data workflows and analyzing large datasets. Collaborate effectively with data engineers, data architects, DBAs, product owners, and stakeholders to ensure alignment on data requirements, project goals, and reporting solutions. Support the design and maintenance of scalable data pipelines and data lakes in Azure using Python and Databricks to ensure data quality and accessibility for analysis. Work with healthcare data to ensure compliance with data privacy regulations, implementing security measures such as tokenization to safeguard sensitive information. Leverage Azure cloud technologies and Databricks for data processing, transformation, and generating insights to support business goals. Develop and maintain automated reporting solutions to provide stakeholders with timely and actionable data insights. Use ServiceNow for CMDB with auto-discovery to ensure consistent and accurate data management across systems. Perform ad-hoc analyses and create data visualizations to communicate findings clearly to technical and non-technical stakeholders. Collaborate with engineering and data science teams to transform data into actionable business insights, applying advanced data modeling and statistical analysis techniques. Ensure data accuracy and integrity, validating data to ensure consistency across systems and platforms. Experience working with both structured and unstructured data sources, including integrating, analyzing, and transforming data from diverse formats (e.g., databases, APIs, Excel, flat files, and text-based documents). Experience with healthcare data, including claims, pharma, and PHI/PII, and a strong understanding of data privacy regulations and security protocols (e.g., tokenization). Expertise in data validation, ensuring high-quality, accurate data for reporting and decision-making purposes. Strong problem-solving abilities with a focus on addressing complex data challenges in healthcare-related projects. Strong communication and presentation skills with the ability to explain complex data insights to both technical and non-technical audiences. Proven ability to collaborate with cross-functional teams, including data engineers, data architects, DBAs, product owners, and business stakeholders to deliver data solutions. Hands-on experience with Azure cloud technologies and Databricks for data processing, transformation, and reporting. Expertise in developing automated reports and data visualizations that transform complex data into actionable insights. Required Skills : Requirements: Data Analysis, Data Bricks, SQL, Python, ETL processing, data lineage mapping and documentation experience, handling PHI/PII data, visualization (Tableau or Power BI), experience in relational and NoSQL databases Need to have worked in a Greenfield environment before Needs experience in PII/PCI/PHI data at the macro level, understanding tokenization, handling data flows that contain both protected and non-protected data. Needs SQL and Python for analytics, building and analyzing data sets. Should have experience across different data source, including relational (Oracle, SQL Server) and NoSQL databases (they are using MongoDB). Basic Qualification : Additional Skills : Quick turn around. Long term project. Great opportunity to get in at the ground level! Background Check : Yes Drug Screen : Yes Notes : Selling points for candidate :Quick turn around. Long term project. Great opportunity to get in at the ground level! Project Verification Info :MSA: Blanket Approval Received Client Letter: Will Not Provide" Candidate must be your W2 Employee :Yes Exclusive to Apex :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set :Yes Type of project : Master Job Title : Branch Code :
My3Tech Inc