Business Analyst I

Job details Spherion Sioux Falls is seeking a Business Analyst I to join our client's Risk & Analytics team as a core analytical contributor. The Business Analyst I serves as a core analytical contributor within the Risk & Analytics team. Responsible for transforming raw data into actionable business intelligence, this role builds recurring performance dashboards, evaluates A/B operational tests, and executes ad-hoc analytical requests for departmental stakeholders. Working under supportive team mentorship, the analyst will ensure high data integrity while continuously expanding their technical expertise in data manipulation, visualization, and querying tools. ...
Salary: $65-75k/year

Schedule: Monday - Friday, 8:00 AM - 5:00 PM (Occasional evening/weekend hours as project deadlines require)

Responsibilities:
Reporting & Analytical Delivery:

-Dashboard & Metrics Maintenance: Design, update, and manage recurring reports that track core business metrics and cross-departmental KPIs.

-Ad-Hoc Analysis: Conduct targeted statistical and operational analyses to answer stakeholder questions, synthesizing complex data into clear, actionable summaries.

-Performance & Experiment Tracking: Monitor A/B testing initiatives and operational changes to measure business impact and present clear findings to decision-makers.

-Data Organization: Gather, structure, and clean datasets according to established data hygiene standards and analytical protocols.

Stakeholder Partnership & Communication:

-Requirements Gathering: Participate in discovery sessions with business leaders to translate operational inquiries into structured reporting requirements.

-Data Storytelling: Communicate analytical findings clearly to both technical and non-technical partners using clean summaries and visual aids.

-Team Collaboration: Partner closely with risk and analytics colleagues to maintain consistent reporting logic across all internal platforms.

Data Quality & Technical Growth:

-Validation & Auditing: Perform routine data quality audits to ensure information in reports is complete, timely, and accurate.

-Anomaly Escalation: Identify data discrepancies or system inconsistencies and coordinate with senior analysts to resolve root causes.

-Continuous Skill Development: Proactively build technical fluency in internal database architectures, querying tools, and analytics platforms.

Working hours: 8:00 AM - 5:00 PM

Skills:
-Degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Engineering, or a related quantitative field.

-Prior experience in business intelligence, data analytics, or financial reporting.

-Hands-on proficiency using SQL to query databases.

-Direct experience evaluating A/B tests or operational experiments.

-Background in financial services, banking, commercial lending, or fintech.

Education:
Bachelors

Experience:
1-4 years

Qualifications:
-Education: Bachelor's degree from an accredited institution.

-Spreadsheet Proficiency: Advanced knowledge of Microsoft Excel for data analysis and modeling.

-Data Aptitude: Foundational understanding of relational data principles, reporting methodologies, and data quality standards.

-Technical Exposure: Basic familiarity with a analytical programming language (such as Python or R) and a willingness to learn SQL querying.

-Data Visualization: General exposure to visual analytics platforms (, Power BI, Tableau, or similar BI tools).

-Soft Skills: Meticulous attention to detail, exceptional written and verbal communication skills, and the organizational ability to manage multiple deliverables under set timelines.


To be considered, please apply online at Show lessShow more Spherion Sioux Falls is seeking a Business Analyst I to join our client's Risk & Analytics team as a core analytical contributor. The Business Analyst I serves as a core analytical contributor within the Risk & Analytics team. Responsible for transforming raw data into actionable business intelligence, this role builds recurring performance dashboards, evaluates A/B operational tests, and executes ad-hoc analytical requests for departmental stakeholders. Working under supportive team mentorship, the analyst will ensure high data integrity while continuously expanding their technical expertise in data manipulation, visualization, and querying tools.

Salary: $65-75k/year

Schedule: Monday - Friday, 8:00 AM - 5:00 PM (Occasional evening/weekend hours as project deadlines require)

Responsibilities:
Reporting & Analytical Delivery:

-Dashboard & Metrics Maintenance: Design, update, and manage recurring reports that track core business metrics and cross-departmental KPIs.

-Ad-Hoc Analysis: Conduct targeted statistical and operational analyses to answer stakeholder questions, synthesizing complex data into clear, actionable summaries.
... -Performance & Experiment Tracking: Monitor A/B testing initiatives and operational changes to measure business impact and present clear findings to decision-makers.

-Data Organization: Gather, structure, and clean datasets according to established data hygiene standards and analytical protocols.

Stakeholder Partnership & Communication:

-Requirements Gathering: Participate in discovery sessions with business leaders to translate operational inquiries into structured reporting requirements.

-Data Storytelling: Communicate analytical findings clearly to both technical and non-technical partners using clean summaries and visual aids.

-Team Collaboration: Partner closely with risk and analytics colleagues to maintain consistent reporting logic across all internal platforms.

Data Quality & Technical Growth:

-Validation & Auditing: Perform routine data quality audits to ensure information in reports is complete, timely, and accurate.

-Anomaly Escalation: Identify data discrepancies or system inconsistencies and coordinate with senior analysts to resolve root causes.

-Continuous Skill Development: Proactively build technical fluency in internal database architectures, querying tools, and analytics platforms.

Working hours: 8:00 AM - 5:00 PM

Skills:
-Degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Engineering, or a related quantitative field.

-Prior experience in business intelligence, data analytics, or financial reporting.

-Hands-on proficiency using SQL to query databases.

-Direct experience evaluating A/B tests or operational experiments.

-Background in financial services, banking, commercial lending, or fintech.

Education:
Bachelors

Experience:
1-4 years

Qualifications:
-Education: Bachelor's degree from an accredited institution.

-Spreadsheet Proficiency: Advanced knowledge of Microsoft Excel for data analysis and modeling.

-Data Aptitude: Foundational understanding of relational data principles, reporting methodologies, and data quality standards.

-Technical Exposure: Basic familiarity with a analytical programming language (such as Python or R) and a willingness to learn SQL querying.

-Data Visualization: General exposure to visual analytics platforms (, Power BI, Tableau, or similar BI tools).

-Soft Skills: Meticulous attention to detail, exceptional written and verbal communication skills, and the organizational ability to manage multiple deliverables under set timelines.


To be considered, please apply online at Show lessShow more

• key responsibilities

  Reporting & Analytical Delivery:-Dashboard & Metrics Maintenance: Design, update, and manage recurring reports that track core business metrics and cross-departmental KPIs.-Ad-Hoc Analysis: Conduct targeted statistical and operational analyses to answer stakeholder questions, synthesizing complex data into clear, actionable summaries.-Performance & Experiment Tracking: Monitor A/B testing initiatives and operational changes to measure business impact and present clear findings to decision-makers.-Data Organization: Gather, structure, and clean datasets according to established data hygiene standards and analytical & Communication:-Requirements Gathering: Participate in discovery sessions with business leaders to translate operational inquiries into structured reporting requirements.-Data Storytelling: Communicate analytical findings clearly to both technical and non-technical partners using clean summaries and visual aids.-Team Collaboration: Partner closely with risk and analytics colleagues to maintain consistent reporting logic across all internal & Technical Growth:-Validation & Auditing: Perform routine data quality audits to ensure information in reports is complete, timely, and accurate.-Anomaly Escalation: Identify data discrepancies or system inconsistencies and coordinate with senior analysts to resolve root causes.-Continuous Skill Development: Proactively build technical fluency in internal database architectures, querying tools, and analytics platforms.

• experience

  1-4 years

• skills

  -Degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Engineering, or a related quantitative field.-Prior experience in business intelligence, data analytics, or financial reporting.-Hands-on proficiency using SQL to query databases.-Direct experience evaluating A/B tests or operational experiments.-Background in financial services, banking, commercial lending, or fintech.

• qualifications

  -Education: Bachelor's degree from an accredited institution.-Spreadsheet Proficiency: Advanced knowledge of Microsoft Excel for data analysis and modeling.-Data Aptitude: Foundational understanding of relational data principles, reporting methodologies, and data quality standards.-Technical Exposure: Basic familiarity with a analytical programming language (such as Python or R) and a willingness to learn SQL querying.-Data Visualization: General exposure to visual analytics platforms (, Power BI, Tableau, or similar BI tools).-Soft Skills: Meticulous attention to detail, exceptional written and verbal communication skills, and the organizational ability to manage multiple deliverables under set timelines.

• education

  Bachelors

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