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Data Analyst Ii Jobs (NOW HIRING)

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

Job Title: Data Analyst II Location: Springfield, MO Department: IT Employment Type: Full-time Job Summary: Are you passionate about transforming data into meaningful insights that drive ...

Data Analyst II Location: Jackson, MI (Onsite/ Hybrid) Duration: Long term Rate: Market Duties: · We are seeking a detail-oriented and collaborative Data Analyst to support our Voice of the Customer ...

The Data Analyst II role involves gathering, analyzing, and interpreting data to provide insights for decision-making, while collaborating with stakeholders to develop data-driven solutions.

They are seeking a Data Analyst II who will execute data analysis work, build and maintain dashboards and reports, and collaborate with stakeholders to provide data-driven insights. Responsibilities ...

The Data Analyst II role involves executing data analysis projects, building and maintaining dashboards, and collaborating with stakeholders to provide data-driven insights. Responsibilities : • ...

Data Analyst II 100% Remote PST work Remaining Positions: 1 Duties: * Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and ...

Data Analyst II * Hourly/Salary Compensation Range: 31-37/hr (contract) * Location: Remote, onsite as needed at Client (Northern California) * Hours: 8:00 AM - 5:00 PM PST * Start Date: 7/13/2026

Data Analyst II * Hourly/Salary Compensation Range: 52.50/hr * Location: Remote, onsite as needed at Client Health Plan * Hours: 8:00 AM - 5:00 PM * Start Date: 7/20/26 * Client Overview: Client ...

Data Analyst II

Waukesha, WI · On-site

$21.60/hr

Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services role supporting data analysis on trapped parts within the GEHC network. The primary goal of this will ...

Data Analyst II Responsibilities and Duties: * Participate in recurring program forums, including Weekly Project Status Reporting, coordination meetings, and Standard Operating Procedure (SOP ...

As a Data Analyst II, you will enhance operational tracking and reporting capabilities while collaborating with various teams to drive insights through visualizations and analyses. Responsibilities ...

The Data Analyst II serves as a subject matter expert on assigned data domains and source systems, partners with stakeholders to define metrics and reporting needs, and develops scalable analytical ...

Primary Responsibilities The Data Analyst II gathers, analyzes, and interprets data from across the organization delivering descriptive and predictive information for decision making. They design ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

What you'll do As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely ...

Data Analyst II

New York, NY · Hybrid

$93K - $117K/yr

What you'll do As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely ...

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Data Analyst Ii information

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How much do data analyst ii jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analyst ii in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Data Analyst II or similar data-related roles, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming (e.g., Python, R), and data visualization can be learned at any age. Experience, continuous learning, and relevant certifications can enhance job prospects, and employers value diverse backgrounds and perspectives regardless of age.

What is the difference between Data Analyst Ii vs Data Analyst I?

CriteriaData Analyst IData Analyst II
Required CredentialsBachelor's degree in related field; entry-level certificationsBachelor's degree; some certifications preferred (e.g., Microsoft, Tableau)
Work EnvironmentEntry-level, supervised tasks, basic data analysisMore independent, complex data projects, mentorship roles
Employer & Industry UsageCommon in various industries, entry-level rolesMid-level position, used in finance, healthcare, tech
Search & Comparison IntentUnderstanding entry vs mid-level data rolesClarifying role progression and responsibilities

The main difference between Data Analyst I and Data Analyst II lies in experience, responsibilities, and independence. Data Analyst I roles are typically entry-level, focusing on basic data tasks, while Data Analyst II positions involve more complex analysis, greater independence, and mentorship responsibilities. This progression reflects increased skills and industry experience.

What opportunities for career advancement are typically available to a Data Analyst II within an organization?

As a Data Analyst II, you are well-positioned to advance into more senior analytical roles, such as Senior Data Analyst, Analytics Manager, or Data Scientist, depending on your interests and skill development. Many organizations provide pathways for growth by offering mentorship programs, cross-functional project involvement, and training in advanced analytics tools or programming languages. Demonstrating the ability to translate complex data into actionable business insights and collaborating effectively with cross-departmental teams can further support your advancement. Additionally, proactively seeking out leadership opportunities, such as leading data projects or training junior analysts, can help accelerate your career progression.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst Ii involves critical thinking, domain knowledge, and communication skills that are not easily replaced by AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

What is a Data Analyst II?

A Data Analyst II is a mid-level professional who collects, processes, and analyzes data to help organizations make informed business decisions. They typically have more experience than entry-level analysts and are responsible for more complex data projects, including designing data models, running advanced statistical analyses, and creating detailed reports. Data Analyst IIs often collaborate with cross-functional teams, identify trends, and provide actionable insights to improve business performance. They may also mentor junior analysts and contribute to the development of data strategies.

What does a data analyst II do?

A Data Analyst II collects, processes, and analyzes data to identify trends and support decision-making within an organization. They often use tools like Excel, SQL, and data visualization software, and may be responsible for creating reports, dashboards, and insights to inform business strategies.

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

In the field of data analysis, earning $1,000,000 annually is rare and typically involves senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings may also be achieved in entrepreneurial ventures or consulting roles with significant client portfolios and specialized expertise. Such compensation levels usually require extensive experience, advanced skills, and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Analyst II, and why are they important?

To thrive as a Data Analyst II, you need strong analytical skills, proficiency in statistical analysis, and experience with data visualization, usually backed by a degree in a quantitative field. Familiarity with tools like SQL, Python or R, Excel, and data visualization platforms such as Tableau or Power BI is typically expected. Attention to detail, problem-solving ability, and effective communication are standout soft skills for this role. These skills and qualities are crucial for translating complex data into actionable insights that support informed business decisions.
More about Data Analyst Ii jobs
What cities are hiring for Data Analyst Ii jobs? Cities with the most Data Analyst Ii job openings:
What are the most commonly searched types of Data Analyst Ii jobs? The most popular types of Data Analyst Ii jobs are:
What states have the most Data Analyst Ii jobs? States with the most job openings for Data Analyst Ii jobs include:
Infographic showing various Data Analyst Ii job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst 2

Data Analyst 2

4P Consulting Inc.

Birmingham, AL • On-site

Contractor

Re-posted 16 days ago


Job description

Job Title :: Data Analyst 2

Location :: Birmingham, AL 35203(Onsite)

Contract :: 6-Months

Skills and Responsibilities

· 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.

· Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis.

· Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw

· meaningful conclusions from data, as well as the ability to apply machine learning

techniques for predictive modeling.