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Associate Data Analyst Jobs in Roxbury, MA (NOW HIRING)

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... This includes managing issue analysis, proper triage and issue assignments, and planning ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... This includes managing issue analysis, proper triage and issue assignments, and planning ...

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... Apply and advance currently available data mining and advanced analytics to link molecular ...

Partners Capital

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Key Responsibilities include: • Design and build scalable data pipelines integrating internal applications (e.g., OMS/PMS systems) and external data vendors such as Bloomberg and MSCI • Analyze ...

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How much do associate data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate data analyst in Roxbury, MA is $89,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $105,300.00 per year, depending on experience, location, and employer.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Roxbury, MA? The most popular types of Data Analyst jobs in Roxbury, MA are:
What job categories do people searching Associate Data Analyst jobs in Roxbury, MA look for? The top searched job categories for Associate Data Analyst jobs in Roxbury, MA are:
What cities near Roxbury, MA are hiring for Associate Data Analyst jobs? Cities near Roxbury, MA with the most Associate Data Analyst job openings:
Associate Data Analyst jobs near you

Associate Director, Data Science

Novartis Farmacéutica

Cambridge, MA • On-site

$160.30 - $297.70/hr

Other

Medical, Life, Retirement, PTO

Posted 5 days ago

Job description

Job Title

Associate Director – Data Science (Cambridge, MA)

Overview

Novartis is a leader in data science and model-informed drug development. We are seeking an experienced data science leader to advance data-driven drug discovery and development by integrating advanced analytics, machine learning, and mechanistic modelling approaches in Cambridge, MA.

Responsibilities
  • Shape and advance AI-driven MIDD by integrating mechanistic modelling and machine learning to bridge biology and clinical outcomes.
  • Design and implement hybrid modeling pipelines where mechanistic simulations generate features for machine learning models.
  • Translate model‑derived biomarkers and mechanistic states into clinically relevant predictions and decision‑support tools.
  • Drive scientifically grounded AI approaches that enhance mechanistic understanding, ensuring rigor, interpretability, and robustness.
  • Develop scalable, reproducible workflows integrating data science, mechanistic modelling, and in‑house tools.
  • Define and implement project‑specific in silico modelling and data strategies aligned with key decision questions.
  • Apply and advance currently available data mining and advanced analytics to link molecular structure, ADME properties, and pharmacological outcomes across modalities.
  • Drive adoption and effective use of in silico models, tools, and data to accelerate decision‑making.
  • Collaborate with PKS, Translational Medicine, and Data & Digital teams to integrate diverse datasets (preclinical, clinical, external).
  • Contribute to translational programs across disease areas and communicate modelling insights to influence decision‑making.
  • Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and development, and proactively evaluate and bring appropriate innovation into practice to improve efficiency and scientific impact.
Qualifications
  • Advanced degree in life sciences or quantitative discipline (e.g., data science, computational biology, pharmacometrics, bioinformatics, computational chemistry, biomedical engineering or related field).
  • PhD with 5+ years or MSc with 8+ years of relevant experience in drug discovery or development.
  • Strong expertise in machine learning, statistics, and data science methods.
  • Demonstrated experience applying reproducible data science approaches to drug discovery or development.
  • Experience combining mechanistic modeling and data‑driven approaches is strongly preferred.
  • Strong understanding of ADME, PK/PD, and/or translational modeling concepts.
  • Proficiency in Python and/or R, including software development best practices (version control, testing, documentation).
  • Experience with machine learning libraries such as scikit‑learn, PyTorch, or Keras.
  • Strong data visualization and exploratory data analysis skills.
  • Ability to translate complex analytical concepts into clear, actionable insights.
  • Strong collaboration and communication skills across multidisciplinary teams.
  • Fluency in English (oral and written).
Salary and Benefits

The salary for this position is expected to range between $160,300 and $297,700 per year. The final salary offered is determined based on relevant skills and experience, and upon joining Novartis will be reviewed periodically. Salary may be adjusted based on company and market factors.

Your compensation will include a performance‑based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US‑based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Employees are eligible for a generous time‑off package including vacation, personal days, holidays and other leaves.

This is a hybrid role that requires a balance of in‑person and virtual working, with an average of 12 days a month on site in Cambridge, MA.

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