business intelligence engineer

ibex. Pakistan

<div>
 
 The
 
 Business Intelligence (BI) Engineer
 
 will be responsible for designing, developing, and maintaining scalable data systems and dashboards that drive strategic and operational decisions across the company. This position requires a balance of technical expertise in data modeling, visualization, and ETL pipeline development, along with strong business understanding to convert complex data into actionable insights for leadership and field teams.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and manage ETL processes to gather and consolidate data from multiple systems (CRM, ERP, scheduling platforms, customer databases, etc.).
 </li>
 <li>
 Ensure data quality, accuracy, and governance through validation, documentation, and access control best practices.
 </li>
 <li>
 Develop, maintain, and optimize interactive BI dashboards and reports to monitor business performance.
 </li>
 <li>
 Collaborate with teams across operations, finance, marketing, and customer experience to define requirements and provide data-driven insights.
 </li>
 <li>
 Analyze business trends, identify improvement opportunities, and provide recommendations to support strategic goals.
 </li>
 <li>
 Promote and support the adoption of BI tools and foster data literacy throughout the organization.
 </li>
 </ul>
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with
 
 3+ years of experience
 
 as a BI Engineer, Data Analyst, or Data Engineer.
 </li>
 <li>
 Proficiency in
 
 Python
 
 or other scripting languages for data transformation and ingestion.
 </li>
 <li>
 Strong knowledge of
 
 ETL processes
 
 and
 
 data modeling
 
 (e.g., star schema, snowflake).
 </li>
 <li>
 Experience integrating data via
 
 APIs
 
 across SaaS and business systems (e.g., CRM, ERP, Google Ads, Meta Ads).
 </li>
 <li>
 Expertise in
 
 SQL
 
 and working with relational databases (MS SQL Server, PostgreSQL, MySQL, etc.).
 </li>
 <li>
 Hands-on experience with
 
 BI visualization tools
 
 such as Power BI, Tableau, or Looker Studio.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Familiarity with
 
 Microsoft BI and cloud tools
 
 (Azure, Synapse, Fabric, Power BI, Power Apps, Power Automate).
 </li>
 <li>
 Experience in
 
 field services, HVAC, or home services
 
 industries is an advantage.
 </li>
 </ul>
 
 
</div>

Business Intelligence Engineer

Valve and Meter

<div>In a Nutshell
Valve+Meter is searching for a Business Intelligence Engineer to join our Analytics &amp; Insights team tasked with using data to drive action and growth for our clients and organization. Analytics and insights are only as strong as the underlying data that powers them, so we are looking for an expert in modeling, engineering, analyzing, and communicating data effectively. 
Why this Role is Important
Valve+Meter is a high performance marketing agency that utilizes data to make informed business decisions. Everything we do relies on effective and efficient flows of clean data to drive action and create transformational growth. The Business Intelligence Developer will lead in designing, optimizing, and owning Valve+Meter's data pipelines, tables, and warehouses. 
You love all things data and analytics and thrive where &quot;the rubber meets the road&quot; in turning vision into reality. We strive to be the team that can &quot;figure anything out&quot; and are looking for someone with a knack for solving complex problems and an endless desire to learn. 
Responsibilities<ul><li>
Model, extract, and ingest data from various systems and methods, including flat files, APIs, and databases.</li><li>
Create effective and efficient data pipelines and ETL flows that allow analytics to drive actionable insights.</li><li>
Take business requirements and vision and transform them into effective data solutions.</li><li>
Develop dashboards to communicate insights and drive action by using data to tell a story rather than simply showing charts.</li><li>
Design and development of automated solutions for recurring reporting and in-depth analysis.</li></ul> 
Experience
Required:<ul><li>
Bachelor's degree in a quantitative field, such as computer science or mathematics</li><li>
2+ years relevant experience in business intelligence and/or data engineering, including:<ul><li>
Demonstrated experience using data to create and deliver insights</li><li>
Creating effective and efficient data pipelines and tables in a cloud environment such as GCP or AWS</li><li>
Hands-on experience with a BI tool such as Microsoft Power BI, Tableau, or Domo</li></ul></li><li>
Strong SQL knowledge and experience:<ul><li>
Creating practical tables and views</li><li>
Optimizing queries for performance</li><li>
Writing complex queries to meet any reporting requirements</li></ul></li><li>
Working data from complex APIs, both REST and GraphQL</li><li>
Transforming data from disparate systems into a unified source that drives action</li><li>
Experience using or integrating AI-assisted tools to improve data analysis, automation, or reporting efficiency.</li></ul> 
Preferred:<ul><li>
Experience working at a marketing agency</li><li>
Experience driving change in a BI capacity</li><li>
Knowledge of digital marketing campaigns, SEO strategies, and marketing measurement</li><li>
Python</li><li>
Google Analytics, Google Ads, Microsoft Ads</li></ul> 
Standard Software<ul><li>
Data Warehousing: Google BigQuery</li><li>
BI Tool: Tableau/Looker/Agency Analytics</li><li>
Productivity Suite: Google Workspace</li><li>
Video Conference: Google Meet</li><li>
Project Management &amp; Time Tracking: Wrike</li><li>
Instant Messaging: Slack</li><li>
CRM: Pipedrive/Hubspot</li><li>
Automation: Zapier, N8N, Python</li><li>
Password Manager: 1Password</li></ul>
About Us
We've named our practice Valve+Meter because the variables we can manage with you are the flow and cost of new business. The &quot;valve&quot; part of our approach manages the right rate of new business for your operation, and we set our pricing with you not based on the activities we pursue but on the &quot;metered&quot; results we generate. 
Core Values<ul><li>
 Think: Focus. Find a way forward.</li><li>
 Love: Act in the long-term best interest of another.</li><li>
 Serve: Meet expectations. Go the extra mile.</li><li>
 Transform: Create dramatic change. Be irreplaceable.</li><li>
 Be Just: Be fair and transparent. Do no harm.</li></ul></div>

Snap Finance

<div>Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
<div><div>Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We&rsquo;re looking for a Business Intelligence Engineer Lead to drive the next evolution of our analytics ecosystem &mdash; empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization.
If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what&rsquo;s possible in business intelligence (including responsible AI adoption), this role is for you.
How you'll make an impact:
</div><div><ul><li>Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations that drive strategic decision-making across all levels of the business.
</li><li>Collaborate closely with business stakeholders to translate business needs into technical requirements, define meaningful KPIs, and ensure insights align with company goals.
</li><li>Architect and maintain scalable data models, ensuring performance, integrity, and usability across multiple data domains.
</li><li>Write and optimize advanced SQL (Presto, PostgreSQL, or equivalent) for analysis, dashboard feeds, and automation pipelines.
</li><li>Oversee and continuously improve our Tableau ecosystem (or equivalent BI platforms) &mdash; including governance, content strategy, performance optimization, and user enablement.
</li><li>Use Python to automate workflows, enrich datasets, and build repeatable analytical frameworks.
</li><li>Develop and maintain advanced Excel models and visualizations, integrating them with BI tools where appropriate for ad-hoc analysis and executive reporting.
</li><li>Collaborate with Data Engineering, Analytics, and Product teams to align BI architecture with business needs and system capabilities.
</li><li>Champion best practices in visualization design, storytelling, and performance tuning.
</li><li>Evaluate and introduce AI-driven efficiencies within the BI space &mdash; from intelligent data preparation to automated insights &mdash; while maintaining technical rigor and human oversight.
</li><li>Mentor analysts and BI developers, setting standards for data modeling, dashboard development, and analytical quality.
</li><li>Ensure a culture of data trust, scalability, and continual improvement across the BI environment.
</li></ul></div></div><div><div>What you'll need to succeed:
</div><div><ul><li>5+ years of experience in business intelligence engineering, data analytics, or a related technical field.
</li><li>Deep expertise in SQL &mdash; capable of building, optimizing, and mentoring on complex query logic and data modeling.
</li><li>Proficiency in Python for data processing, automation, and integration workflows.
</li><li>Expert-level skills in Tableau and Excel &mdash; capable of creating dynamic dashboards, advanced formulas, pivot tables, macros, and interactive visualizations.
</li><li>Proven experience in data modeling for analytics &mdash; star/snowflake schemas, semantic layers, and KPI standardization.
</li><li>Strong experience working with business stakeholders to define KPIs, build requirements, and deliver insights that drive measurable outcomes.
</li><li>Strong understanding of data architecture principles and how BI fits into the larger data ecosystem.
</li><li>Curiosity and openness to AI and automation &mdash; an eagerness to apply emerging tools to make BI faster, smarter, and more scalable.
</li><li>Experience with R or Shiny is a plus.
</li><li>Excellent communication skills with the ability to translate complex data into clear, compelling business insights.
</li><li>A leadership mindset that combines technical excellence with mentoring, collaboration, and the drive to raise team capability.
</li></ul></div></div>Why Join Us:
<ul><li>Generous paid time off
</li><li>Competitive medical, dental &amp; vision coverage
</li><li>401K with company match for US
</li><li>Company-paid life insurance
</li><li>Company-paid short-term and long-term disability
</li><li>Access to mental health and wellness resources
</li><li>Company-paid volunteer time to do good in your community
</li><li>Legal coverage and other supplemental options
</li><li>A value-based culture where growth opportunities are endless
</li></ul>More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com .
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice</div>

Business Intelligence Engineer Lead

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Fulfilment Technologies (AFT) is seeking an innovative and results-driven business intelligence engineer to join our team. AFT is the backbone of Amazon's global operations, developing modern software, hardware, and processes that power our vast network of fulfilment centers that move billions of units of inventory, employs tens of thousands of people, and ensures that customers get what they want when promised. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. 
 
We're looking for an experienced business intelligence engineer with a proven track record in delivering complex analytics and business intelligence on distributed software. The ideal candidate should have a comprehensive understanding of the entire BI deployment lifecycle, including: BI design and architecture, development, comprehensive documentation, rigorous testing methodologies and efficient operations. You must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You'll be joining a team responsible for a wide range of receive services that form the foundation of Amazon's Fulfillment operations and its Inventory systems. In this role, you'll contribute to our mission of reinventing Amazon Fulfilment Inventory systems to provide best in class selection for our end customers while ensuring the highest standards of experience for our vendors and sellers. Your work will directly impact the efficiency and effectiveness of Amazon's global fulfillment network, ensuring we continue to meet and exceed customer expectations.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Amazon Fulfilment Tech - Business Intelligence Engineer, Inventory

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 You&rsquo;ll be joining our Data engineering, Reporting and Analytics practice, a core part of our Technology, Data &amp; Analytics business unit. We support our clients in delivering a variety of transformation projects across the commercial sector from defining data strategies to helping architect, design and implement modern data and analytics solutions using the latest cloud technologies.
 
 
 The role will provide you with an opportunity to work across a portfolio of clients, with a focus on large and complex organisations.
 
 
 You will work in the team that reports to the Data Analytics delivery service leadership team and will be an integral part of the team based in Cairo, as well as those delivering client transformation programmes across the PwC Global Network, including the UK, Germany and Middle East.
 
 
 
 Essential Skills &amp; Attributes
 
 
 
 <ul>
 <li>
 +4 years of experience in a reporting and analytics role, extensive experience in reporting &amp; analytics tools including:
 </li>
 <li>
 PowerBI, Tableau, QlikSense, Looker, Foundry or equivalent
 </li>
 <li>
 SQL, PowerQuery; Alteryx or equivalent
 </li>
 <li>
 Minimum 3 years of experience as Dashboards and Reports developer using Power BI or equivalent BI tool
 </li>
 <li>
 Minimum 2 years of experience with the following tools: Azure Data Platform tools, SQL DB, and Power BI
 </li>
 <li>
 Acquiring data and transforming it for reporting in PowerBI and PowerQuery
 </li>
 <li>
 Creating calculated, restricted and derived measures in PowerQuery and PowerBI, as well as understanding when to use which approach
 </li>
 <li>
 Creating appealing and insightful visualizations and interactive reports, filters in Power BI using information design principles
 </li>
 <li>
 Creation of relational data models based on reporting requirements and raw base data
 </li>
 <li>
 Standard approaches for data cleansing and to ensuring data quality
 </li>
 <li>
 Identification and definition of rules within an ETL process to harmonize, aggregate, filter and transform data so that it can be used for defined reporting goals
 </li>
 <li>
 Understanding of statistical modelling, machine learning, or data mining, text mining concepts and a track record of solving problems with these methods to deliver rapid business insight
 </li>
 <li>
 Proven programming experience in one of Python, R, Go, SQL or similar
 </li>
 <li>
 Proven experience using Excel
 </li>
 <li>
 Strong business acumen in relation to analytics, having had experience within at least one business area function (e.g marketing, sales, finance, workforce, procurement etc.)
 </li>
 <li>
 Proven experience in requirements gathering and translation
 </li>
 <li>
 Extensive experience in handling large, complex data sets
 </li>
 <li>
 Analysis of business functionality and needs; translating them into technical requirements and solution designs
 </li>
 <li>
 Excellent communication, relationship skills and a strong team player
 </li>
 <li>
 Proven ability to transfer technical knowledge to clients and colleagues
 </li>
 <li>
 Passionate about analytics and insight, including staying up-to-date with the latest trends and technologies
 
 
 </li>
 </ul>
 
 Additional Skills
 
 
 
 <ul>
 <li>
 Performance optimization of PowerBI reports
 </li>
 <li>
 Enhancing PowerBI reports with row-level security and configuring this functionality
 </li>
 <li>
 Data Analysis Expressions (DAX)
 </li>
 <li>
 Creating advanced data processing workflows in Alteryx, with skills in the tool categories not mentioned above (e.g. Predictive, Prescriptive, Spatial, Demographic Analysis)
 </li>
 <li>
 Publishing of workflows to Alteryx Server and scheduling workflows
 </li>
 <li>
 Creating Alteryx Macros
 </li>
 <li>
 Creating SnapLogic pipelines
 </li>
 <li>
 Working with DataBricks
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 University Degree, in computer science/engineering, business analytics, information systems, statistics, mathematics or other related disciplines preferrably
 </li>
 <li>
 Microsoft Power BI Certification is needed
 </li>
 <li>
 Tableau Certification is a plus
 </li>
 <li>
 Celonis certification is a plus
 </li>
 <li>
 Alteryx Certification is a plus
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 
 Degrees/Field Of Study Required
 
 
 
 Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 0%
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 No
 
 
 
 Government Clearance Required?
 
 
 
 No
 
 
 
 Job Posting End Date
 
</div>

ETIC, Business Intelligence Engineer- Senior Associate

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join us in creating the next generation Alexa devices!! 
As a Business Intelligence Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Alexa Trust. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Scientists, Product Managers and Executive Leadership with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. 
 
If this sounds like a team that you want to be a part of, we want you to apply NOW! 
 
Key job responsibilities 
<ul><li>Analyse and report key metrics to senior leadership</li><li>Detect any anomalies / trends, work with other teams to identify the root causes and report/follow up.</li><li>Work effectively with customers (e.g., business teams, Data Scientists, etc.) and other internal partners to ensure deliverables meet the needs of the business and team goals.</li><li>Troubleshoot, research root causes, propose solutions which are scalable and maintainable</li></ul> 
A day in the life 
<ul><li>Working in a fun and fast paced environment, with a team of very talented professionals</li><li>Putting together Business Metrics and evaluating anomalies
</li><li>Trouble shooting and performing root cause analysis for challenging issues</li><li>Collaborating with other job famillies like Development team members, applied scientists, data scientists, ops and Product Managers</li></ul> 
About the team 
Alexa sensitive content intelligence team enables Alexa to provide policy compliant experiences to the customer. We employ multiple AI models and work closely with a team of talented scientists and engineers.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>7+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience building measures and metrics, and developing reporting solutions</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Business Intelligence Engineer, Alexa Sensitive Content Intelligence (ASCI)

Accenture

Project Role : BI Engineer 
Project Role Description : Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection.
 
Must have skills : Microsoft Power Business Intelligence (BI) 
Good to have skills : NA 
Minimum 5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a BI Engineer, you will develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Your typical day will involve collaborating with various teams to ensure the integration of security and data privacy protection while delivering impactful data solutions that enhance organizational decision-making processes. You will engage in problem-solving activities and contribute to the overall success of data initiatives within the organization. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate training sessions to enhance team capabilities and knowledge sharing. - Monitor and evaluate the effectiveness of data-driven solutions and recommend improvements. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI). - Strong analytical skills to interpret complex data sets. - Experience with data modeling and data warehousing concepts. - Familiarity with data visualization best practices. - Ability to work with SQL and other database technologies. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Power Business Intelligence (BI). - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

BI Engineer

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