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Technical Operations and Data Analyst Job Opening In New York – Now Hiring Blooming Health


Job description

Introduction




The Data Analyst plays a crucial role in supporting the data analysis needs of the organization.

This position is designed for individuals who are starting their careers in data analytics and are eager to learn and grow within the field.

The Data Analyst will work closely with senior team members to develop their skills and contribute to the organization's data-driven decision-making processes.


Objectives


The primary objective of the Data Analyst is to assist in collecting, analyzing, and reporting data.

This role aims to provide accurate and actionable insights that support the organization's strategic initiatives.

The Data Analyst will focus on building foundational skills in data analytics while contributing to various data projects.


Key Responsibilities


  • Collect, clean, and transform data from diverse sources (BigQuery, PostgreSQL, MongoDB) using Python libraries such as Pandas, Polars, and NumPy to prepare datasets for analysis.
  • Design robust data models and analytics workflows to support reporting in BigQuery and visualizations in Tableau.
  • Write efficient and reliable SQL queries in PostgreSQL and MongoDB to extract and transform complex datasets.
  • Collaborate closely with data analysts, product managers, and engineering teams to understand data needs and deliver trusted data products.
  • Apply domain knowledge of healthcare, HIPAA compliance, and patient data privacy in all data engineering practices.
  • Optimize performance, data quality, and reliability of pipelines handling large-scale healthcare data.
  • Document data sources, transformations, and analytical workflows to ensure reproducibility and transparency.


Roles and Duties


  • Support senior analysts in building KPIs, metrics, and dashboards, ensuring consistency in reporting across the organization.
  • Use Python (Pandas, Polars, NumPy) for advanced data wrangling, outlier detection, and exploratory data analysis.
  • Ensure data integrity and accuracy by following established data governance and company security protocols in handling data.
  • Assist in developing and maintaining documentation for data analysis processes and methodologies.
  • Participate in training sessions to enhance data analysis skills and knowledge.
  • Contribute to team meetings and provide input on improving data-related processes.
  • Support Customer Success and Sales teams with reporting and dashboard needs.
  • Assist Customer Success in organizational setups and user management tasks.
  • Investigate and resolve bugs, ensuring smooth operation of data processes.


Required Skills and Experience:


  • Strong experience with PostgreSQL and Python, especially using Pandas for data manipulation.
  • Hands-on experience working in the Google Cloud Platform (GCP) ecosystem, particularly with BigQuery and Cloud SQL.
  • Familiarity with MongoDB and unstructured/semi-structured healthcare data.
  • Solid understanding of HIPAA regulations and best practices for handling patient data securely.
  • Experience building or supporting dashboards and reports in Tableau.
  • Strong problem-solving and communication skills, with an ability to work independently in a fast-paced, collaborative environment.
  • Prior experience working in the healthcare domain is strongly preferred.


Training and Mentorship


  • SMART metrics are defined and given to new hires during the first few weeks and are targeted to be achieved and reviewed by the 3rd month appraisal.

    There will be annual performance reviews.
  • Training materials, including process documents and videos, are provided.
  • Walkthroughs and additional support are available when needed.
  • The Technical Manager, with the assistance of senior team members, will be the primary point of contact during the training period.

Benefits


  • Equity in a series A startup
  • Healthcare and vision
  • Fully Remote
  • Salary Range of 85-105k

Career Development


The Data Analyst position offers opportunities for career growth and development.

With the right mentorship and training, a Data Analyst can progress to more senior roles within the data analysis field, such as a Senior Data Analyst or Data Scientist.


Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Technical Operations Potential: Insight & Career Growth Guide


Real-time Technical Operations Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Technical Operations in New York, United States, highlighting market share and opportunities for professionals in Technical Operations roles.

66002 Jobs in United States
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2499 Jobs in New York
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Are You Looking for Technical Operations and Data Analyst Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Blooming Health adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Technical Operations and Data Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Technical Operations and Data Analyst?

Key qualifications for Technical Operations and Data Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Technical Operations and Data Analyst?

To improve your chances of getting hired for Technical Operations and Data Analyst, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Technical Operations and Data Analyst Job Success

Blooming Health interview tips for Technical Operations and Data Analyst

Here are some tips to help you prepare for and ace your Technical Operations and Data Analyst job interview:

Before the Interview:

Research: Learn about the Blooming Health's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Technical Operations and Data Analyst interview at Blooming Health, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Blooming Health's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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