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Data Analyst Non Technical Jobs in Kansas (NOW HIRING)

... tasks to non-technical users • Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data ...

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

The Senior Data Analyst serves as a trusted analytics partner to business leaders across the ... Translate complex analytical findings into clear recommendations for both technical and non ...

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States ... for both technical and non-technical partners * Comfort working quickly in a live-service ...

Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations. * Perform ...

Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations. * Perform ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

Bachelor's degree in marketing, business, or related technical field is required. * 5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Bachelor's degree in marketing, business, or related technical field is required. * 5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

Bachelor's degree in marketing, business, or related technical field is required. * 5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Bachelor's degree in marketing, business, or related technical field is required. * 5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and ...

Collaborate with stakeholders to define data needs, develop technical requirements, and provide analytical interpretations. * Leverage advanced analytics tools for reporting needs. * Analyze trends ...

Collaborate with stakeholders to define data needs, develop technical requirements, and provide analytical interpretations. * Leverage advanced analytics tools for reporting needs. * Analyze trends ...

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Showing results 1-20

Data Analyst Non Technical information

Is a data analyst a non-technical job?

A data analyst role typically involves working with data to identify trends and support decision-making, which often requires technical skills such as data manipulation, statistical analysis, and familiarity with tools like Excel, SQL, or visualization software. While some positions may focus more on business insights and require less technical expertise, most data analyst jobs involve a combination of technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analyst (Non-Technical), and why are they important?

To excel as a Data Analyst (Non-Technical), you need strong analytical thinking, attention to detail, and a solid understanding of data interpretation, usually supported by a bachelor's degree in a related field. Familiarity with Excel, basic data visualization tools, and reporting platforms is typically expected, though advanced programming is not required. Effective communication, problem-solving, and stakeholder management are vital soft skills that help translate data insights into actionable business strategies. These abilities are crucial for ensuring data-driven decisions align with organizational goals and for communicating findings clearly to non-technical audiences.

What is a Data Analyst (Non Technical)?

A Data Analyst (Non Technical) is a professional who works with data to help organizations make informed decisions, but focuses more on interpreting and presenting data rather than writing code or using advanced technical tools. They often use spreadsheets and basic data visualization software to analyze trends, prepare reports, and communicate findings to non-technical stakeholders. Their role is key in translating complex data into actionable insights that can be easily understood by decision-makers across the business.

Is 40 too late for data science?

For a data analyst or data scientist role, starting a career at 40 is possible, especially with relevant skills like programming, statistics, and tools such as Python or SQL. Many professionals transition into data roles later in life by gaining certifications or online training, and experience can be valuable regardless of age.

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

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1,000,000 annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs may also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting insights, making strategic decisions, and handling complex or unstructured data. The role of a data analyst evolves with AI, emphasizing skills in data storytelling, critical thinking, and tool proficiency like SQL and visualization software.

What is the difference between Data Analyst Non Technical vs Data Analyst Technical?

AspectData Analyst Non TechnicalData Analyst Technical
Required SkillsData interpretation, reporting, visualization tools (Excel, Tableau)Programming (Python, R), SQL, data modeling
CertificationsBusiness Intelligence certifications, Tableau, ExcelSQL certifications, Python/R courses
Work EnvironmentBusiness teams, reporting dashboardsData engineering teams, coding environments
Industry UsageMarketing, finance, sales analysisData science, machine learning projects

Data Analyst Non Technical roles focus on interpreting data and creating reports using visualization tools, requiring less programming knowledge. Data Analyst Technical roles involve coding, data modeling, and advanced analytics. Both roles are essential in data-driven industries but differ mainly in technical skill requirements and work environment.

How do Data Analyst (Non-Technical) roles typically contribute to cross-departmental projects within an organization?

Data Analyst (Non-Technical) professionals often serve as a bridge between data teams and business units, helping translate data insights into actionable strategies for departments like marketing, sales, or operations. They work closely with stakeholders to understand their data needs, prepare reports, and communicate findings in accessible language. Collaboration is key, as they frequently participate in meetings, provide context for data trends, and ensure that different teams are aligned on objectives and outcomes. This role is ideal for those who enjoy teamwork, communication, and applying analytical thinking to solve business challenges.
What cities in Kansas are hiring for Data Analyst Non Technical jobs? Cities in Kansas with the most Data Analyst Non Technical job openings:
Data Analyst

Data Analyst

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Posted 27 days ago


Lockton rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

37th of 299 rated insurance


Job description

Job Summary:
The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management, Associates, and other custom-built applications.
Essential Duties:
• Subject matter expert for finance, client premium and revenue data
• Generate standard and ad hoc reports on a regular basis
• Create Excel based data analysis tools to identify variances with macros
• The data analyst must be able to recognize data issues and work with providers of data to resolve problems
• Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live
• Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time
• Ad hoc technical analysis of jobs, queries, reports, & other items across ERPs & Systems
Other Responsibilities:
• Makes decisions in compliance with established corporate and department standards
• Provides exceptional customer service and adheres to the Lockton philosophie
Requirements:
• BS/BA degree required
• At least 3 years of experience in data analysis in the insurance industry or related field
• At least 3 years of experience in working with project teams in an information technology environment
• Proficiency with Microsoft SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros
• Use advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing
• Familiarity with PeopleSoft query and nVision or Oracle Fusion and OTBI a plus
• Ability to express complex technical concepts effectively, both verbally and written
• Ability to work well with & and describe tasks to non-technical users
• Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data conversions
• Demonstrated effectiveness in working with multi-functional teams in a technical production environment
• Demonstrated ability to respond to customer requirements with timely and effective technical solutions
• Ability to synthesize data from multiple sources
• Superior attention to detail
• Ability to multitask without sacrificing the quality and accuracy of project deliverables
• Some overtime, off-shift support and travel may be required
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