Overview
On Site
USD 90,000.00 - 110,000.00 per year
Full Time
Skills
Health Care
Performance Metrics
Data Warehouse
Workflow
Modeling
Law
Data Wrangling
Data Cleansing
Data Modeling
Extract
Transform
Load
ELT
Query Optimization
Stored Procedures
Normalization
Databricks
PySpark
Apache Spark
SQL
Unity
Microsoft Power BI
DAX
Python
Pandas
NumPy
matplotlib
Plotly
scikit-learn
Data Visualization
Data Analysis
EDA
Testing
Regression Analysis
Clustering
Time Series
JSON
Computerized System Validation
Apache Parquet
Jupyter
API
Data Validation
Data Quality
Data Governance
Business Intelligence
KPI
Dashboard
Real-time
Analytics
Batch Processing
Big Data
Cloud Storage
Data Lake
Microsoft Azure
Amazon Web Services
Amazon S3
Data Security
Access Control
Version Control
Git
Continuous Integration
Continuous Delivery
Scheduling
Orchestration
Meta-data Management
Job Details
Piper Companies is looking for a Data Analyst to join a a premier healthcare organization in Columbia, Maryland. This is a long term opportunity with a great hybrid schedule!
Responsibilities for the Data Analyst:
Qualifications for the Data Analyst:
Compensation/Benefits for the Data Analyst:
This job opens for applications on 5/28/25. Applications for this job will be accepted for at least 30 days from the posting date
#LI-HYBRID
#LI-BM2
Data wrangling, Data cleaning, Data transformation, Data modeling, ETL (Extract, Transform, Load), ELT (Extract, Load, Transform), Data pipelines, Structured Query Language (SQL), Joins, Inner join, Left join, Right join, Full outer join, Subqueries, Common Table Expressions (CTEs), Window functions, Aggregations, Group By, HAVING clause, WHERE clause, Indexing, Query optimization, Stored procedures, Views, Temporary tables, Data types, NULL handling, Primary keys, Foreign keys, Normalization, Denormalization, Databricks notebooks, Delta Lake, Apache Spark, PySpark, Spark SQL, DataFrames, RDDs (Resilient Distributed Datasets), MLflow, Lakehouse architecture, Unity Catalog, Workspace, Clusters, Jobs, Power BI Desktop, Power BI Service, DAX (Data Analysis Expressions), Power Query, M language, Data connectors, Data refresh, Dashboards, Reports, Visualizations, Slicers, Filters, Drillthrough, Bookmarks, Measures, Calculated columns, Row-level security (RLS), Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scikit-learn, Statsmodels, DataFrames, Series, Data visualization, Exploratory Data Analysis (EDA), Feature engineering, Correlation analysis, Hypothesis testing, Regression analysis, Classification, Clustering, Time series analysis, Outlier detection, Data serialization, JSON, CSV, Parquet, SQLAlchemy, Jupyter Notebooks, API integration, REST APIs, Data ingestion, Data export, Data validation, Data quality, Data governance, Data lineage, Data catalog, Business Intelligence (BI), KPI tracking, Metrics, Interactive dashboards, Real-time analytics, Batch processing, Big data, Cloud storage, Azure Data Lake, Azure Synapse, AWS S3, Google BigQuery, Data security, Access control, Version control, Git, CI/CD pipelines, Automation, Scheduling, Orchestration, Airflow, dbt (data build tool), Metadata management
Responsibilities for the Data Analyst:
- Identifies and documents key performance metrics for in-market products. Works with stakeholders to develop specific, repeatable definitions of metrics
- Understands, cleans, models, and prepares data derived from an enterprise data warehouse and other primary data sources for analytics use
- Develops and manages effective visualizations for key product metrics using PowerBI. Conveys quantitative data in a way that is easily understood by stakeholders
- Work with data scientists and analytics staff to operationalize data workflows and modeling
Qualifications for the Data Analyst:
- Bachelors/Masters degree is related field is preferred
- 5+ years experience as a data analyst or engineer
- Data Modeling & analysis and strong experience with Databricks, Python/Pandas and SQL is required
- Proficiency in PowerBI is preferred
Compensation/Benefits for the Data Analyst:
- $90,000 - $110,000
- Comprehensive benefit package; Cigna Medical, Cigna Dental, Vision, 401k w/ ADP, PTO, paid holidays, sick Leave as required by law
- Hybrid schedule (1x a week onsite)
This job opens for applications on 5/28/25. Applications for this job will be accepted for at least 30 days from the posting date
#LI-HYBRID
#LI-BM2
Data wrangling, Data cleaning, Data transformation, Data modeling, ETL (Extract, Transform, Load), ELT (Extract, Load, Transform), Data pipelines, Structured Query Language (SQL), Joins, Inner join, Left join, Right join, Full outer join, Subqueries, Common Table Expressions (CTEs), Window functions, Aggregations, Group By, HAVING clause, WHERE clause, Indexing, Query optimization, Stored procedures, Views, Temporary tables, Data types, NULL handling, Primary keys, Foreign keys, Normalization, Denormalization, Databricks notebooks, Delta Lake, Apache Spark, PySpark, Spark SQL, DataFrames, RDDs (Resilient Distributed Datasets), MLflow, Lakehouse architecture, Unity Catalog, Workspace, Clusters, Jobs, Power BI Desktop, Power BI Service, DAX (Data Analysis Expressions), Power Query, M language, Data connectors, Data refresh, Dashboards, Reports, Visualizations, Slicers, Filters, Drillthrough, Bookmarks, Measures, Calculated columns, Row-level security (RLS), Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scikit-learn, Statsmodels, DataFrames, Series, Data visualization, Exploratory Data Analysis (EDA), Feature engineering, Correlation analysis, Hypothesis testing, Regression analysis, Classification, Clustering, Time series analysis, Outlier detection, Data serialization, JSON, CSV, Parquet, SQLAlchemy, Jupyter Notebooks, API integration, REST APIs, Data ingestion, Data export, Data validation, Data quality, Data governance, Data lineage, Data catalog, Business Intelligence (BI), KPI tracking, Metrics, Interactive dashboards, Real-time analytics, Batch processing, Big data, Cloud storage, Azure Data Lake, Azure Synapse, AWS S3, Google BigQuery, Data security, Access control, Version control, Git, CI/CD pipelines, Automation, Scheduling, Orchestration, Airflow, dbt (data build tool), Metadata management
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.