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Data Analytics Jobs in Sparta, NJ (NOW HIRING)

Qusscorp

Data Analyst

Morris Plains, NJ · On-site

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality * Acquire data from primary or secondary data sources ...

Thorlabs

Data Analyst I

Newton, NJ · On-site

$72K - $94K/yr

Bachelor's degree in Data Analytics, Business Analytics, Computer Science or related fields Specialized Knowledge and Skills: * Strong proficiency with data analysis techniques and tools, such as SQL ...

ShiftCode Analytics, Inc.

Azure Data Architect

Warren, NJ · On-site

$66 - $84.75/hr

ShiftCode Analytics, Inc. is a data analytics company seeking an Azure Data Architect. The primary responsibility of this role is to partner with product owners to document business requirements and ...

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All JobsData Analytics JobsData Analytics Jobs in Sparta, NJ

Data Analytics information

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$25

$57

$99

How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in Sparta, NJ is $57.59, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $65.24 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Sparta, NJ?

The most popular types of Data Analytics jobs in Sparta, NJ are:

What job categories do people searching Data Analytics jobs in Sparta, NJ look for?

The top searched job categories for Data Analytics jobs in Sparta, NJ are:

What cities near Sparta, NJ are hiring for Data Analytics jobs?

Cities near Sparta, NJ with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Sparta, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,781 per year, or $57.6 per hour.

Associate Director, Data & Analytics

Morristown, NJ

Grunenthal
See more jobs at Grunenthalexternal

$145K - $185K/yr

Full-time

Posted 27 days ago

Job description


POSITION: Associate Director, Data & Analytics


The salary range for this position is between $145k and $185k

Actual salary at the time of hire may vary and may be above or below the range based on various factors, including, but not limited to, the candidate's relevant qualifications, skills, and experience. The company also currently offers a Long-Term Incentive Plan (cash plan) of 20% base salary, and annual performance bonus target of 20% base salary (subject to meeting plan requirements).


POSITION SUMMARY

Averitas Pharma is seeking a strategic, insight-driven, and highly hands-on Associate Director of Data & Analytics to transform complex data into clear, actionable business intelligence that drives decision-making across our commercial and medical organizations.


This role is ideal for an analytics leader who can operate comfortably at two levels: diving into the details of complex data sets to answer nuanced business questions and leading high-impact strategic projects that shape the company's future. It will collaborate closely with cross-functional teams, ensuring that analytics are relevant, impactful, and aligned with business objectives, helping stakeholders understand not just what the data shows, but why it matters and how it should influence strategy.


KEY RESPONSIBILITIES

  • Analytical Leadership & Insight Generation
    • Serve as the organization's analytics champion, guiding stakeholders to understand not just what the data shows, but why it matters.
    • Hands-on development of predictive models, marketing mix modeling (MMM), and forecasting to support brand and commercial strategy.
    • Provide strategic insights on brand performance, marketing effectiveness, and business drivers
    • Develop and deliver analyses that connect data findings to commercial and medical strategies, influencing both tactical decisions and long-term planning.
    • Present complex analyses in a clear, compelling manner to both technical and non-technical audiences, tailoring communication to the needs of each group.
    • Lead the creation and continuous improvement of dashboards, scorecards, and ad-hoc reports that provide context, highlight drivers, and reveal actionable opportunities.
  • Hands-On Data Analysis & Problem Solving
    • Personally investigate complex, detailed data questions - validating sources, reconciling discrepancies, and ensuring insights are built on accurate, reliable data.
    • Apply advanced analytical tools and methods to uncover patterns, trends, and anomalies that drive deeper understanding.
  • Data Enablement & Governance
    • Oversee the availability, integrity, and usability of data sources, including CRM, patient services hub, distributor and specialty pharmacy data, marketing data, and other commercial or medical data domains.
    • Maintain strong data governance practices and ensure data hygiene in collaboration with internal teams and external partners.
    • Manage vendors and third-party data/analytics providers for key business deliverables.


QUALIFICATIONS, CAREER EXPERIENCE AND SKILLS

A combination of relevant education and applicable job experience will be considered.

  • Qualifications
    • Bachelor's degree required; advanced degree in analytics, statistics, or related field preferred.
  • Career Experience
    • 5+ years in pharmaceutical/biotech analytics or commercial operations
    • Deep understanding of statistical modeling, forecasting techniques, MMM, and A/B testing
    • Strong experience with pharma syndicated data (Specialty pharmacy, claims etc.)
    • Proven ability to manage both detailed analysis and high-level strategic initiatives
  • Skills
    • Proficiency in Python or R, SQL, Excel, and BI tools (Power BI, Tableau, DOMO)
    • Exceptional communication skills and a talent for data storytelling to technical and non-technical audiences


TRAVEL

  • The ability to travel up to 25%, including overnights, as dictated by business need and attend all company sponsored events/meetings/conferences.

ETHICS AND COMPLIANCE

  • Demonstrates the highest levels of ethics, integrity and trust while acting with courage and candor.
  • Maintains high accountability for personal actions and results and has the ability to ensure a high level of commitment to the success of the organization, peers and customers.
  • Operates in compliance with all applicable regulations and professional standards at all times.


VALUES & BEHAVIORS

  • Live Entrepreneurship: Plan for long-term growth and build a future business predicated on innovation
  • Be Patient-Centric: Deliver innovation for patients and challenge themself and others to improve patient outcomes
  • Join Forces: Seek diverse input, collaborate across all functions and leverage resources from global partners
  • Act with Integrity: Apply ethical standards, encourage transparency and embrace diversity and inclusivity
  • Drive Performance: Create an atmosphere that nurtures teamwork in order to enable high performance and sustainable growth


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