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SOFTWARE ENGINEER - BI

Sally Beauty
United Statesfull_timeVerifiedPosted 23 Apr 2025

About the role

Job Title: Software Engineer (Business Intelligence)

(this position is Hybrid working 2 days a week in the Texas Support Center)

“At Sally Beauty Holdings, we find beauty in diversity.  Our inclusivity and self-expression are what fuel our innovation and growth. You are welcome here, and you can thrive here. We find beauty in YOU. Join us.”

Experience Required: 3+ years

About the Role:
We are seeking a skilled and experienced Software Engineer with expertise to work on Enterprise data lake and Business intelligence. The ideal candidate will possess a strong background in enterprise data lake technologies (Databricks, Azure Synapse, AWS Redshift etc.) and analytical tools (Power BI, Tableau etc.). This role requires excellent communication skills to effectively engage with business stakeholders and proven experience in managing onsite-offshore delivery models.

Key Responsibilities

  1. Design & Architecture
    • Design and implement scalable and efficient BI solutions using Reporting and analytical tool sets.
    • Define data architecture and BI strategy to meet business objectives.
    • Integrate advanced analytics and machine learning capabilities into BI solutions.
  2. Technical Expertise
    • Develop and optimize complex dashboards and reports for actionable insights.
    • Use the platform for data engineering, advanced analytics, and ML model deployment.
  3. Data Science & AI/ML
    • Collaborate with Data Science teams to build predictive and prescriptive analytics models.
    • Incorporate AI/ML algorithms into business intelligence workflows.
  4. Stakeholder Engagement
    • Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
    • Present solutions, prototypes, and recommendations to both technical and non-technical audiences.
  5. Onsite-Offshore Coordination
    • Coordinate delivery working with onsite-offshore vendor partner teams to ensure project and support success.
    • Provide technical guidance and mentoring to the offshore team.

Knowledge, Skills and Abilities

  • Technical Skills:
    • Proficiency in Business intelligence tools like Power BI/Tableau and others, including DAX, data modeling, and visualization best practices.
    • Hands-on experience with Enterprise data lake systems
    • Working knowledge of Data Science tools and frameworks.
  • Experience:
    • 3+ years of experience in business intelligence, data analytics, and architecture roles.
    • Proven experience in designing and delivering end-to-end BI and data analytics solutions.
  • Soft Skills:
    • Good communication and presentation skills.
    • Ability to manage and engage with diverse stakeholders, including business and technical teams.
    • Strong organizational and leadership skills for managing cross-functional teams.

Preferred Qualifications:

  • Data and business intelligence certifications.
  • Familiarity with Agile project management methodologies.
  • Working with retail business models.

Competencies / Attributes

  • Ability to be a hands-on leader
  • Must be able to work with limited direction and supervision
  • Appreciates a fast-paced environment with need to balance between results and process
  • Positive can-do attitude
  • Must enjoy working multiple tasks and under fixed schedule release dates
  • Must be detail oriented and willing to create and maintain documentation
  • Must be technically current, open to continued learning and capable of completing tasks on time with limited supervision

Working Conditions /Physical Requirements

  • The work environment involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms, retail stores, and residences or commercial vehicles, e.g., use of safe work practices with office equipment, avoidance of trips and falls, observance of fire regulations and traffic signals, etc. The work area is adequately lighted, heated, and ventilated.
  • The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items such as papers, files, books, small parts; using a keyboard, driving an automobil

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Company

Sally Beauty

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