Posted on 3 Dec

Experience

3 - 5 Years

Education

Bachelor of Business Administration, Master of Science(Statistics), Master of Arts(Statistics)

Nationality

Any Nationality

Gender

Any

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Job Summary:

We are seeking a technically proficient Data Analyst with expertise in both Power BI and Python-based dashboarding tools. The ideal candidate should have hands-on experience in building interactive and dynamic dashboards using Power BI and Python frameworks like Streamlit, Dash, or Plotly, enabling advanced visualization and seamless data-driven decision-making.


Key Responsibilities:

• Data Analytics & Automation

• Clean, transform, and analyze datasets using Python (pandas, numpy) and SQL.

• Develop scripts to automate reporting, alerts, and data pipelines.

• Perform statistical and exploratory data analysis.

• Dashboarding & Reporting

• Design and develop interactive dashboards using Power BI, including complex DAX formulas, slicers, drill-downs, and conditional formatting.

• Create dynamic, responsive dashboards in Python using frameworks such as Streamlit, Dash by Plotly, and Plotly charts.

• Embed Python visualizations into Power BI reports where needed.

• Ensure visualizations are business-friendly and performance-optimized.

• Advanced Analytics (Optional for Data Scientists)

• Build machine learning models in Python (scikit-learn, XGBoost, TensorFlow).

• Deploy predictive analytics into dashboards or standalone apps.

Desired Candidate Profile

Required Qualifications:

Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related discipline. Master’s degree preferred for Data Scientist role.


Technical Skills & Competencies

• Python (Mandatory)

• Data Analysis: pandas, numpy, openpyxl

• Visualization: matplotlib, seaborn, plotly

• Interactive Dashboards: Streamlit (must-have), Dash (nice to have), Plotly (charts and graphs)


Optional: ML libraries like scikit-learn, statsmodels, or TensorFlow

• Power BI (Mandatory)

• Building interactive dashboards with filters, slicers, bookmarks, and drill-throughs

• DAX: Writing measures, calculated columns, and KPIs

• Power Query (M) for data transformation

• Data modeling best practices and performance tuning

• Other Tools


SQL (strong knowledge required)

• Excel (advanced level)

• Git/GitHub for version control

• APIs and Python integration with external data sources (nice to have)


Experience Level

• Mid-level (3–5 years): Proven hands-on work creating dashboards in both tools


Certifications (Preferred)

• Microsoft Certified: Power BI Data Analyst

Employment Type

    Full Time

Department / Functional Area

Keywords

  • Big Data
  • Dashboard Reporting
  • Business Strategy
  • Data Visualization
  • Power BI
  • Tableau
  • KPI Analysis
  • Data Strategist
  • Business Analyst
  • Python
  • Data Scientist

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ARENCO REAL ESTATE EST

After completing his engineering studies in the U.S. in 1971 Mr. Abdullah Ahmed Almoosa laid the foundation of the Group through an architectural engineering firm. It is now grown into a leading family owned diverse business group as one of the top ten leading family owned groups of Dubai. The Group is more popularly known as ARENCO GROUP from its architectural practice which carries that name. The Group’s diverse business interests include: An architectural engineering consultancy and interior design practice Real estate leasing of owned premium apartments, villas, commercial offices, warehousing, staff accommodation, etc. throughout Dubai Hotel apartments operations of owned assets Furniture trading Car rental and leasing Laundry operations Manufacture of mattresses, beds Manufacture of energy saving lamps Joinery operations Over four decades of experience and a qualified team of experts enable the ARENCO GROUP to offer services that ensure the highest standards of quality and perfection.

Read More

Maria Luisa Penaflor - NA

P.O. BOX 2622, DUBAI ( U.A.E ) Dubai, United Arab Emirates, Dubai, United Arab Emirates (UAE)

https://www.aaagroup.com

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