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Analytics Assistant Jobs in Raleigh, NC (NOW HIRING)

ZS

Decision Analytics Associate Consultant

Durham, NC · On-site

Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver ... Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ...

IQVIA

Pricing Analyst (Pricing Analytics)

Durham, NC · On-site +1

$62K - $157K/yr

Mentor and train new pricing assistants, pricing analysts, and site contract managers as needed. * Ensure inspection ready by complying with relevant training requirements and developing therapeutic ...

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Analytics Assistant information

What are Analytics Assistants?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What are the typical daily responsibilities of an Analytics Assistant and how do they contribute to team projects?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What does an assistant analyst do?

An assistant analyst supports data analysis tasks by collecting, organizing, and preparing data for review. They often use tools like Excel or statistical software, assist in generating reports, and help interpret data insights under the supervision of senior analysts.

What jobs make $1,000,000 a year?

In the field of analytics, high-paying roles such as Chief Data Officer, Data Science Director, or senior executive positions in large corporations can reach or exceed $1,000,000 annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills in data analysis, leadership, and strategic decision-making, and are usually found in major industries like finance, technology, and consulting.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

What are the key skills and qualifications needed to thrive as an Analytics Assistant, and why are they important?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.

Is 40 too late for data science?

For an analytics assistant or similar data-related roles, starting a career at 40 is feasible, especially with relevant skills like data analysis, programming, and familiarity with tools such as Excel or SQL. Many professionals transition into data science later in life, and experience can be an asset; continuous learning and certifications can help improve job prospects regardless of age.

What is the highest paid assistant job?

The highest paid assistant roles are often executive assistants or administrative assistants working in high-level industries or for top executives, with salaries reaching six figures in some cases. Specialized skills, such as proficiency in project management tools or foreign languages, can also increase earning potential.
What are the most commonly searched types of Analytics jobs in Raleigh, NC? The most popular types of Analytics jobs in Raleigh, NC are:
What are popular job titles related to Analytics Assistant jobs in Raleigh, NC? For Analytics Assistant jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Analytics Assistant jobs in Raleigh, NC look for? The top searched job categories for Analytics Assistant jobs in Raleigh, NC are:
Analytics Assistant jobs near you

Decision Analytics Associate Consultant

ZS

Durham, NC • On-site

Full-time

Posted 18 days ago

Key responsibilities

  • Develop and apply advanced statistical models to help clients understand business issues.

  • Design custom analyses using tools such as R, Tableau, SAS, Visual Basic, and Excel to investigate and inform client needs.

  • Synthesize and communicate results to clients and ZS teams through oral and written presentations.

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Insights & Analytics
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
What You'll Do:
  • Develop and apply advanced statistical models that help clients understand dynamic business issues.
  • Leverage analytic techniques to use data to guide client and ZS team decision-making.
  • Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs.
  • Synthesize and communicate results to clients and ZS teams through oral and written presentations.
  • Develop client relationships and serve as key point of contact on aspects of projects.
  • Provide client and ZS teams project status updates.
  • Create project deliverables and implement solutions.
  • Advance problem-solving skills and improve ZS's capabilities.
  • Guide and mentor Associates on teams.

What You'll Bring:
  • Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
  • 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience.
  • High motivation, good work ethic, maturity and personal initiative.
  • Strong oral and written communication skills.
  • Empathy, adaptability and emotional intelligence.
  • Close attention to detail, with a quality-focused mindset.
  • Self-discipline for planning and organizing tasks.
  • Aptitude for, and enjoyment of, working in teams.
  • Fluency in English.
  • Client-first mentality.
  • Intense work ethic.
  • Collaborative spirit and problem-solving approach.

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983

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