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Data Analyst
Inclusively Tempe, AZ
$92k-120k (estimate)
Full Time 4 Days Ago
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Inclusively is Hiring a Data Analyst Near Tempe, AZ

Inclusively is partnering with a financial services company to hire a Data & BI Analyst II- Branch Real Estate. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD). Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.

Branch Real Estate has established an analytics and insights team that is responsible for helping the firm accomplish its strategic BRE goals by measuring how the firm uses its real estate portfolio and identifying opportunities to maximize the impact of the firm's real estate. Our team will deliver critical insights to improve the performance of the firm's BRE processes and support leaders in making data-driven decisions about the firm's real estate portfolio.

What You Will Do

  • Leverage data using various technologies, languages, and analytical methods to provide actionable insights that support BRE business decisions.
  • Analyze the effectiveness of BRE functions and strategic programs, and present actionable insights to enhance future efforts using appropriate statistical methods.
  • Develop business relationships and partnerships with BRE stakeholders and cross-functional stakeholders that work alongside BRE to support various branch practice models.
  • Create, support, and maintain dashboards that help BRE leaders and field leaders understand how real estate is being used and what opportunities exist to improve BRE experience and financial impact.
  • Educate other team members, associates, and leaders across the firm on data and statistical concepts and best practices.
  • Identify opportunities for BRE to improve the structure and accessibility of real estate data, and collaborate with the appropriate digital product teams that can provide solutions.

What You'll Need:

Experience Required:

  • 3-5 years' experience in relevant field
  • At least 2 years of analytics experience
  • Financial services or commercial real estate experience is preferred

Education Required:

  • Bachelor's Degree with an emphasis in business, economics, math, engineering, or analytics preferred (or relevant work experience)
  • Advanced Degree or Certification preferred

Functional Knowledge:

  • Experience with data visualization tools such as Power BI or Tableau is highly preferred
  • Requires conceptual knowledge of theories, practices, and procedures within a job discipline
  • Requires expanded conceptual knowledge in own job discipline and broadens capabilities
  • Proficiency interacting with various database and file storage systems (e.g. Oracle, Hadoop, NoSQL)
  • Understanding of join types
  • Experience with data manipulation languages, such as SQL, required

Business Expertise:

  • Applies general knowledge of business developed through education or past experience
  • Understands key business drivers; uses this understanding to accomplish own work
  • Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership:

  • Accountable for own contributions Provides informal guidance to new team members
  • Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements; may coach, mentor, or provide guidance within or across teams
  • Ability to work effectively both independently and in a team environment, independently organize, plan & prioritize individual effort needed to ensure overall success of cross-functional projects. Occasionally lead cross-functional teams responsible for divisional objectives or assist with the onboarding of other data analysts

Problem Solving:

  • Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
  • Ability to identify the question(s), what data is needed, analyze and interpret the results to recommend solutions to senior & executive division leaders for a broad spectrum of business improvement opportunities in a clear and concise manner. Execute on projects of a moderate complexity which involve cross-functional teams, collaborate well with associates and leadership throughout the division (and potentially firm leadership and/or external vendors)

Impact:

  • Develops and performs moderately complex analysis, typically with moderate business impact. Works with leaders throughout the firm, providing analytical guidance to directly influence business decisions. While there are no direct supervisory responsibilities, coordinating with others to accomplish tasks and meet deadlines will be required, and may be asked to occasionally mentor and train other associates on the team. Influence decision making, by gaining a deep understanding of inter-departments/divisions interactions the impact on firm operations and initiatives

*Candidates that live within in a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.

Job Summary

JOB TYPE

Full Time

SALARY

$92k-120k (estimate)

POST DATE

07/04/2024

EXPIRATION DATE

08/01/2024

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

02/20/2022: Laramie, WY

Data analysts rely on various tools to collect and make sense of their data.

01/17/2022: Melbourne, FL

Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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