Data Analyst (REMOTE)

Arsenault; Phoenix (AZ); Remote; USD 115,000 - 126,000; Full time

Job summary

A leading data analytics firm in Phoenix, Arizona, is seeking a Data Analyst to improve decision-making through data collection and analysis. The successful candidate will have at least 3 years of experience in quantitative analysis, expertise in SQL, Python, and other analytical tools, and a Bachelor's degree in a relevant field. The firm offers a salary range of $115,000 - $126,000, with a potential bonus, and highly values strong communication and analytical skills.

Qualifications

• Minimum of 3 years experience in quantitative analysis and data modeling.
• 2-3 years technical experience in software development and machine learning.
• Excellent written and verbal communication skills.

Responsibilities

• Responsible for data collection and analysis to improve business decisions.
• Develop data structures and pipelines for data organization and reporting.
• Perform strategic analysis of structured and unstructured data.

Skills

Data analysis

Python

R

SQL

SAS

Microsoft BI

Statistical analysis

Data visualization

Education

Bachelor's degree in Computer Science, Math, Engineering or related field

Tools

Oracle

Tableau

SSRS

Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

• Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.
• Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.
• Defines data requirements and gathers and validates information, using judgment and statistical tests.
• Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.
• Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; designs work flows and procedures.
• Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.
• Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).
• Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.
• Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

• Experience with Microsoft BI stack (e.g., SSRS) a bonus.
• Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.
• Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

Compensation and Equal Opportunity Statements

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.