Senior Data Analyst
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Job Location:
Houston, MS - USA
Yearly Salary:
USD 49920 - 49920
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Position Description
If youre looking to be a part of a collaborative environment where your skills can make an impact explore our current opportunities in creating a better future for public health.
About Harris County Public Health:
Harris County Public Health (HCPH) includes a network of more than 1100 public health professionals working together to improve health outcomes for the third most populous county in the United States. HCPH provides a multitude of services such as medical and dental services community programming and health education for the approximately 2.3 million people in unincorporated Harris County. Through its core values of innovation engagement and health equity HCPH strives to bring meaningful solutions to public health issues while keeping Harris County healthy and vibrant.
This is a grant-funded position.Position Overview:
Under the supervision of the Data Analytics Supervisor the Senior Data Analyst will support the Reporting & Informatics section of Harris County Public Healths Office of Epidemiology Surveillance and Emerging Diseases. With strong skills in data analytics programming spatial analysis and database management this position will assist the existing team in fulfilling all department-wide analytics requests.
Duties & Responsibilities:
- Responsible for the full life-cycle of data analytics including requirements gathering analysis design data identification data collection data transformation and delivery of results.
- Creates and maintains custom data repositories including database design and construction.
- Mentors junior team members in coding techniques and best practices and conducts code checks/validation.
- Performs other assigned duties including special tasks related to responding to emergency events.
Harris County is an Equal Opportunity Employer
Requirements
Education:
- Bachelors Degree in Public Health Computer Science Data Science Information Management Statistics or related field.
Experience:
- At least four (4) years of experience working on data projects including data query cleaning management and analysis.
- At least four (4) years of experience using statistical scripting languages like R or Python
- At least two (2) years of experience using data collection and management tools like SQL SSIS SSMS.
- At least one (1) years of experience using data visualization tools like PowerBI Tableau ArcGIS
Knowledge Skills and Abilities:
- Data Analysis: Proficient understanding of data analysis concepts methodologies and techniques.
- Statistics: Strong grasp of statistical principles including hypothesis testing regression analysis and descriptive statistics.
- Data Manipulation: Proficiency in data cleaning transformation and manipulation using tools like SQL Python/R.
- Data Visualization: Familiarity with data visualization tools (e.g. Tableau Power BI) to effectively present insights and trends.
- Database Management: Knowledge of working with databases including data extraction transformation and loading (ETL) processes.
- Problem-Solving: Strong problem-solving skills to identify issues within datasets and develop solutions.
- Communication: Effective verbal and written communication skills to present findings and insights to non-technical stakeholders.
- Attention to Detail: Ability to meticulously examine data and recognize patterns anomalies and outliers.
- Collaboration: Skill in collaborating with cross-functional teams and stakeholders to understand data requirements and deliver actionable insights.
Core Competencies:
Organizational Leadership- Understands the organizational mission.
- Understands ethics and public good; is concerned with public trust.
- Demonstrates respect for the opinions and beliefs of others.
Collaboration
- Contributes to an inclusive workplace where equity diversity inclusion and individual differences are valued and leveraged to achieve the vision and mission.
- Demonstrates a sense of responsibility for the success of the group.
- Collaborates with others to improve quality and address needs.
Innovation
- Ability to adapt to change Interpersonal Abilities/Personal Characteristics.
- Treats others with courtesy sensitivity and respect.
- Behaves in an honest fair and ethical manner.
- Assesses and recognizes own strengths and weaknesses.
- Uses sound judgment.
- Self-motivated.
- Organizes and maintains work environment to allow for maximum productivity.
Communication
- Communicates clearly and effectively both orally and in writing.
NOTE:Qualifying education experience knowledge and skills must be documented on your job application. You may attach a resume to the application as supporting documentation butONLY information stated on the application will be used for consideration. See Resumewill not be accepted for qualifications.
General Information
General Information
Position Type and Typical Hours of Work:
- This is a Full-Time Grant-Funded position.
- Typical work hours are Monday through Friday 8:00 am to 5:00 pm.
- May require periodic overnight travel and long hours/overtime during emergencies/disasters.
Work Environment:
- This job operates in a professional office environment. This role routinely uses standard office equipment such as computers phones photocopiers and printers. Work may require infrequent travel.
Physical Demands:
- This is a largely sedentary role; however some duties would require the ability to lift up to 20 pounds and bending & standing for periods at a time.
Work Location:
- Harris County Public Health: Office of Epidemiology Surveillance & Emerging Diseases - 1111 Fannin St. Houston Texas 77002
Employment may be contingent on passing a drug screen and meeting other standards.
Due to a high volume of applications positions may close prior to the advertised closing date or at the discretion of the Hiring Department.
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
