associate business analyst

Medline Industries

<div>Job Summary
Under direct oversight, provide support and basic consultation to users in the area of automated systems. Work cross-functionally to deliver system functionality in support of streamlined and efficient processes. Provide technical support in identifying, evaluating and developing systems and procedures that are cost effective and meet user requirements.
Job Description
Responsibilities:
<ul><li>Analyze business problems and assist with the design details of automated systems.
</li><li>Assist with developing requirements specifications according to standard templates. Document functional specifications for system solutions and enhancements to existing business systems.
</li><li>Perform implementation and configuration activities including prototyping, analysis, system configuration, operational implementation and process documentation.
</li><li>Serve as the conduit between business and IT team with UAT and end-users as needed to develop and execute appropriate test plan to verify configuration changes work as intended. Assist in quality assurance and defining testing strategy and risks. Contribute to testing and debugging of system enhancements.
</li><li>Work with analysts and managers to translate new requirements into design and implementation.
</li><li>Develop, maintain and complete processes to continuously monitor data quality and system integrity.
</li><li>Working with large datasets, develop reports and dashboards. -
</li><li>Create training materials and deliver system training to new employees.
</li></ul>Required Experience:
<ul><li>Bachelor&rsquo;s degree.
</li><li>Previous experience providing direct user support or client interactions.
</li><li>Advanced skills in Microsoft Excel.
</li></ul>Preferred Qualifications:
<ul><li>Bachelor&rsquo;s degree in Business or Information Technology related field.
</li><li>At least 1 year of data, business and/or systems analyst experience to include experience applying knowledge of relational database schemas.
</li><li>Experience with structured querying language (SQL).
</li><li>Experience translating business needs into technical requirements.
</li><li>Experience documenting technical processes into digestible formats.
</li><li>Experience using time management skills such as prioritizing/organizing and tracking details and meeting deadlines of multiple projects with varying completion dates.
</li><li>Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
</li></ul>Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education &amp; training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position:
$62,000.00 - $93,000.00 Annual
The actual salary will vary based on applicant&rsquo;s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We&rsquo;re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.</div>

Associate Analyst Business Systems - BI Focus

Penske Truck Leasing

<div>Position Summary
This position is for Epes Transport System, LLC, a division of Penske Logistics, based in Greensboro, North Carolina. The Associate Financial Analyst is responsible for providing critical accounting and analytical support for financial processes &mdash; including billing, payroll, metrics, planning, pricing, and forecasting &mdash; for Penske Logistics Field Operations. This role may support one customer/one location, one customer/many locations, or many customers/many locations. The position provides support to functional organizations as well as operational management. The analysis includes assisting with financial reporting, monitoring key performance indicators, and supporting month-end close activities. This is a hands-on role that requires the analyst to work collaboratively with multiple organizations to understand and support the business.
Schedule: Monday-Friday, 8:00AM-5:00PM, Onsite
Major Responsibilities
<ul><li>Provide overall financial analytical support &mdash; including interpreting financial results and delivering ad hoc analysis &mdash; to drive sound operational decision-making</li></ul>
<ul><li>Assist in the preparation of annual business plans, identifying key risks, trends, and opportunities</li></ul>
<ul><li>Capture and report on critical Key Performance Indicators (KPIs) for both internal and external customers, ensuring timely and accurate performance visibility</li></ul>
<ul><li>Actively participate in month-end close processes, including preparation of required documentation and account reconciliations, ensuring deadlines are consistently met</li></ul>
<ul><li>Identify and implement LEAN principles and process improvements (Kaizen, etc.) to support continuous improvement initiatives and reduce operational inefficiencies</li></ul>
<ul><li>Other projects and tasks as assigned</li></ul>
Qualifications
<ul><li>Bachelor's Degree in Accounting or Finance preferred</li></ul>
<ul><li>0&ndash;2 years of general accounting or entry-level finance experience preferred</li></ul>
<ul><li>Intermediate Microsoft Office skills required, with primary proficiency in Excel, Outlook, and PowerPoint</li></ul>
<ul><li>Must have strong written and verbal communication skills</li></ul>
<ul><li>Ability to prioritize and consistently meet deadlines</li></ul>
<ul><li>Analytical mindset with strong attention to detail</li></ul>
<ul><li>Highly organized, self-motivated, and able to work effectively as part of a financial management team</li></ul>
<ul><li>Strong understanding of the importance of cross-functional collaboration with Operations team and the personnel at the Area, Region and Corporate levels</li></ul>
<ul><li>Regular, predictable, full attendance is an essential function of the job.</li></ul>
<ul><li>Successful candidate must complete Penske employment application, submit to a background investigation (past employment, education, and criminal history), and complete a drug screening.</li></ul>
Physical Requirements
<ul><li>The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</li></ul>
<ul><li>The associate will be required to read, communicate verbally and/or in written form, remember and analyze certain information, and remember and understand certain instructions or guidelines.</li></ul>
<ul><li>While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.</li></ul>
<ul><li>Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.</li></ul>
Penske is an Equal Opportunity Employer.
About Epes Transport
Epes Transport, a Penske Logistics company, delivers dependable truckload transportation services with a strong presence in the Southeast, Mid-Atlantic, Northeast, and Midwest. We offer: Dedicated Truckload Capacity, Drayage Services, Shuttle Operations, General Truckload Services, and Yard Switching Operations. With terminals in NC, VA, GA, TN, and TX, and 24/7 satellite shipment tracking, we provide reliable coverage and visibility across major U.S. markets. visit epestransport.com to learn more.
Job Category: Finance/Accounting
Job Function: Financial Analytics
Job Family: Finance
Address: 3400 Edgefield Court
Primary Location: US-NC-Greensboro
Employer: EPES Transport System, LLC
Req ID: 2606705</div>

Associate Financial Analyst

Fenwick & West

<div>Job Description Summary:
Fenwick is seeking a Temporary IT Service Support Analyst in our Santa Monica office location. Under direct supervision of the Associate Director, IT Service, the analyst provides first-line investigation and diagnosis of incidents using the incident management process. The Service Support Analyst acts as the first point of contact between IT and the end-user. The qualified candidate will navigate computer hardware issues, challenges with our operating and network systems, in addition to navigating issues that are affecting our various applications and proactively finding solutions and workaround for these various issues.
 
 
This is a 100% onsite position. The work schedule for this role will be 40 hours per week (non-exempt), Monday - Friday, from 9:00 am - 6:00 pm.
Job Description:<ul><li>
Provide computer, network and software support to the end-user community via telephone, email, remote-access, or in-person.</li><li>
Install or relocate computers systems, including monitors and printers.</li><li>
Install application software based on corporate standards and end-user requirements.</li><li>
Coordinate conference setups in conjunction with the Facilities department and the Professional Development department.</li><li>
Participate in departmental, committee, and technical meetings to discuss and resolve user issues and implement new projects.</li><li>
Monitor and maintain loaner notebook computer inventory.</li><li>
Diagnose and repair computer hardware and contact vendor when necessary.</li><li>
Other duties as assigned</li></ul>
Desired Skills &amp; Qualifications<ul><li>
Strong interpersonal skills and an ability to work and support end-users in a fast-paced and deadline-driven environment with courtesy and tact.</li><li>
Experience working with variety of computer desktop and notebook hardware, including printers, monitors, cabling and connectors for networking and peripherals.</li><li>
Experience with Service Desk ticket tracking and management software.</li><li>
Experience with video conference applications/equipment, and remote meeting technologies (specifically with Webex, Zoom and MS Teams).</li><li>
Knowledge of Microsoft applications and Windows desktop operating system</li><li>
Ability to work under pressure and effectively prioritize multiple tasks.</li><li>
Effective verbal and written communication skills.</li><li>
Ability to deal responsibly with sensitive and confidential information in a discreet and secure manner.</li><li>
Ability to work in a team environment.</li><li>
Ability to understand the business&rsquo; objectives and that the end user&rsquo;s problem affects the business.</li></ul>
Reporting to the Associate Director of IT Service, the ideal candidate will have a minimum of 1 year of experience in a customer service role dealing directly with end-users and 2+ years of experience in using computer hardware and software focused on Microsoft technologies. Experience supporting end-users in an office environment utilizing current LAN technology and network printing. 
Benefits and Compensation Details:
At Fenwick, we believe that our partners and employees are our most important asset. Helping you and your families achieve and maintain good health - physical, emotional, and financial - is the reason we offer a comprehensive benefit program. We provide benefits to eligible employees under plans such as Healthcare, Life Insurance, Health Savings Accounts, Flexible Spending Accounts, and Wellbeing. Except as otherwise required by law, temporary employees are generally not entitled to these benefits.
The anticipated range for this position is:
$76,000 - $107,500
Depending on the role, the actual base salary offered may depend upon a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job.
A discretionary bonus for eligible employees may also be available based on performance. Additional information about employee eligibility for benefits and discretionary bonus will be made available upon request.</div>

Temporary IT Service Support Analyst

Howard-Sloan Search

<div>
 
 
 Our client Global Investment Management Firm
 
 
 
 
 is seekng
 
 
 
 Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 
 
 
 for a
 
 Full Time role
 
 
 4 days onsite / 1 day remote in their Park Avenue, New York offices
 
 
 
 Salary:
 
 $95&ndash;100K base / 10&ndash;15% bonus
 
 
 
 Level
 
 : Analyst, Data Science &amp; Analytics
 
 
 
 
 
 
 This role Reports to
 
 :
 
 
 MD, DSA
 
 
 &amp;
 
 
 Executive Director, AI &amp; Business Analysis (AI Lead)
 
 
 
 
 
 
 you will be working directly with
 
 :
 
 
 MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 
 
 
 
 
 seeking Data Science &amp; Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,
 
 
 seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 
 
 Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm&rsquo;s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.
 
 
 As a Data Science &amp; Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.
 
 
 
 
 
 Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 
 
 
 
 
 Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 
 
 To achieve this, we need an Analyst who can:
 
 
 Apply rigorous quantitative methods to client and business problems
 
 <ul>
 <li>
 Build, test, and refine models and analytical assets using structured and unstructured data
 </li>
 <li>
 Translate data into clear findings, recommendations, and decision support
 </li>
 <li>
 Contribute to internal AI and analytics capabilities that can scale across teams
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Quantitative Analysis &amp; Modeling
 
 
 <ul>
 <li>
 Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
 </li>
 <li>
 Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
 </li>
 <li>
 Evaluate model performance, document assumptions, and support model validation and testing
 </li>
 <li>
 Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
 </li>
 <li>
 Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
 </li>
 </ul>
 
 
 Client Delivery Support
 
 
 <ul>
 <li>
 Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
 </li>
 <li>
 Help frame business questions into analytical hypotheses, required data inputs, and model approaches
 </li>
 <li>
 Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
 </li>
 <li>
 Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
 </li>
 <li>
 Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
 </li>
 </ul>
 
 
 AI &amp; Internal Platform Contribution
 
 
 <ul>
 <li>
 Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
 </li>
 <li>
 Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
 </li>
 <li>
 Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
 </li>
 <li>
 Partner with engineering and business teams to move analytical solutions from prototype to practical usage
 </li>
 </ul>
 
 
 Measurement, Governance, and Controls
 
 
 <ul>
 <li>
 Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
 </li>
 <li>
 Support adherence to internal standards related to model governance, data quality, explainability, and information security
 </li>
 <li>
 Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
 </li>
 <li>
 Help maintain disciplined testing, issue tracking, and version control across analytical work
 </li>
 </ul>
 
 
 
 
 
 Ways of Working
 
 
 <ul>
 <li>
 Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
 </li>
 <li>
 Collaborate effectively across data science, business analysis, technology, and business stakeholders
 </li>
 <li>
 Learn quickly, absorb context fast, and contribute across multiple workstreams at once
 </li>
 <li>
 Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
 </li>
 <li>
 Master&rsquo;s degree is a plus, but not required
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 2 years of experience in data science, analytics, quantitative consulting, financial services,
 </li>
 <li>
 experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
 </li>
 <li>
 Experience supporting client-facing analytical work is a plus
 </li>
 </ul>
 
 
 Core Skills
 
 
 <ul>
 <li>
 Strong quantitative, statistical, and problem-solving capabilities
 </li>
 <li>
 Ability to structure ambiguous questions into analytical workplans
 </li>
 <li>
 Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
 </li>
 <li>
 High attention to detail and ability to deliver under tight timelines
 </li>
 </ul>
 
 
 AI, Data, and Technical Skills
 
 required
 
 <ul>
 <li>
 Experience with Python and SQL
 </li>
 <li>
 Strong statistical analysis skills
 </li>
 <li>
 Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
 </li>
 <li>
 Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
 </li>
 <li>
 Familiarity with working across structured and unstructured datasets
 </li>
 <li>
 
 
 comfortable operating in a fast-paced, high-expectation environment
 </li>
 <li>
 Interested in applying quantitative methods to real commercial and client outcomes
 </li>
 </ul>
 
 
 
 
 Preffered skills:
 
 <ul>
 <li>
 Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
 </li>
 <li>
 Familiarity with Power BI, Tableau, or similar visualization tools is a plus
 </li>
 <li>
 Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
 </li>
 </ul>
 
 
 
 
 PS
 
 
 must currently reside in the NY metro area
 
 
 must have a valid Work Permit for the Permanent employement
 
 
 
</div>

Data Science (Python) Quant Analyst

Blue Owl Capital

<div>
 Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives&reg;.
 
 
 With over $315 billion in assets under management as of March 31, 2026, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation.
 
 
 Together with over 1,390 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com
 
 
 Blue Owl Real Assets is looking for an Sr. Analyst / Associate / Senior Associate to Investments Team, focused on Portfolio Management. Our team is responsible for the Portfolio Management and strategy of all closed-end and open-ended funds within our Net Lease, Real Estate Finance Credit and Digital
 
 
 Infrastructure strategies, as well as ORENT and ODIT, our flagship non-traded REITs. In addition to day-today portfolio management responsibilities, our team also leads the execution of strategic transactions, including take-private acquisitions, capital markets transactions, and strategic sale of asset portfolios. The
 
 
 qualified Sr. Analyst / Associate / Senior Associate will be working with a highly collaborative team that is dynamic, entrepreneurial, and hard working. This is an opportunity to join our team in New York.
 
 
 
 DUTIES + RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Build and maintain the company&rsquo;s corporate model for multiple funds and the non-traded REIT.
 </li>
 <li>
 Create complex financial analyses in connection with ongoing business planning, new product launches, and the execution of various strategic transactions.
 </li>
 <li>
 Monitor trends in the public and private REIT markets and the bond and equity markets to formulate competitive and financial strategies.
 </li>
 <li>
 Assist with company liquidity, conduct on-going liquidity analysis, proactively plan for capital needs (including capital calls and debt draws).
 </li>
 <li>
 Assist in preparation of quantitative and qualitative analyses, and draft written board presentation materials for our non-traded REIT.
 </li>
 <li>
 Assist in developing and monitoring key business performance metrics, including return calculations, operating results, and trends.
 </li>
 <li>
 Assist with monthly and quarterly valuations processes and coordinate with consultants and participate in valuation committee meetings.
 </li>
 <li>
 Conduct ad hoc projects, such as researching companies, transactions, asset classes and market events to inform senior management decision making.
 </li>
 <li>
 Interface with asset managers, investment officers, accounting, tax and legal teams, commercial banks, investment banks, rating agencies and consultants, etc.
 
 
 </li>
 </ul>
 
 SKILLS + EXPERIENCE REQUIRED
 
 
 
 <ul>
 <li>
 2-3+ years of corporate finance, investment banking, and/or real estate consulting experience
 </li>
 <li>
 Strong demonstrated experience in corporate modeling and financial analysis with advanced skills in Excel
 </li>
 <li>
 Demonstrated strong critical thinking and analytical skills with the ability to quickly synthesize information from multiple sources
 </li>
 <li>
 Strong attention to detail with the ability to work in the details but also assess &ldquo;the bigger picture&rdquo; and provide key takeaways and conclusions
 </li>
 <li>
 Strong verbal, written communication, and interpersonal skills
 </li>
 <li>
 Strong presentation skills, including proficiency in MS PowerPoint
 </li>
 <li>
 Exceptional organizational and time-management skills, including an open, action-oriented personality.
 </li>
 <li>
 Flexible and able to thrive in an entrepreneurial, fast-paced, and proactive environment.
 </li>
 <li>
 Knowledge of REIT rules and tax implications, is a plus.
 
 
 </li>
 </ul>
 
 CORE COMPETENCIES
 
 
 
 <ul>
 <li>
 Leading by Example: Demonstrating and fostering, by example, a sense of urgency, strong commitment/accountability, and sound decision-making to achieve goals.
 </li>
 <li>
 Business Acumen: Knowledge of the competitive landscape and current and emerging practice within the industry. Public Real Estate / REITs experience is a plus
 </li>
 <li>
 Vision and Purpose: Embracing and communicating Blue Owl and its goals while reflecting a dedication to success that inspires and motivates. Strong work ethic, and tolerance to working under tight deadlines
 </li>
 <li>
 Motivational and Inspirational: Energetic with a &ldquo;get-it done&rdquo; attitude while keeping the team enthusiastic about the business and the goals set ahead. Encouraging and inspiring colleagues to
 
 
 </li>
 </ul>
 stretch beyond what they thought they could accomplish.
 
 
 <ul>
 <li>
 Ethics and Values: Adhere to a code of conduct with a moral compass focused on the highest
 
 
 </li>
 </ul>
 level of integrity and ethics.
 
 
 
 EDUCATION
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in related field
 
 
 </li>
 </ul>
 It is expected that the base annual salary range for this New York City-based position will be $150,000 to $175,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
 
 
 Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
</div>

Senior Analyst / Senior Associate, Portfolio Management, Real Assets

MCLEOD SOFTWARE

<div><h1 class="jobSectionHeader">Description</h1>

Purpose of this Position:

The Enterprise Data Analyst is responsible for both designing and developing our data architecture and performing data analysis to support business decision-making. This role encompasses the end-to-end process of data collection, transformation, storage, and analysis. The Enterprise Data Analyst will work with departments across the organization to provide data solutions to our internal teams, ensuring data is reliable, accessible, and actionable, driving insights and strategic initiatives throughout the organization. They will also assist in deploying special projects for the other departments as requested.

Essential Duties and Responsibilities:
<ul>
<li>Design, implement, and maintain data pipelines and ETL processes to support data reporting and dashboards.</li>
<li>Organize, model, and store raw data in our data warehouse and data lake.</li>
<li>Analyze and interpret data using statistical methods and tools.</li>
<li>Create and maintain reports, dashboards, and visualizations to communicate findings to stakeholders</li>
<li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.</li>
<li>Ensure the reliability, efficiency, and quality of data by developing and implementing processes for data cleaning, transformation, and validation.</li>
</ul>
Competencies:
<ul>
<li>Ability to learn internal software and systems.</li>
<li>Strong written and verbal communication skills.</li>
<li>Ability to manage competing projects and priorities effectively.</li>
<li>Ability to interact with varying organizational levels confidently.</li>
<li>Ability to communicate technical information coherently to a variety of stakeholders.</li>
<li>Ability to confidentially interact with and interpret organizational information.</li>
<li>Strong analytical skills.</li>
</ul>
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/Experience:
<ul>
<li>Bachelor's degree and 2+ years of experience in data analysis, interpretation, and visualization; or an equivalent combination of education and experience, including 6+ years of experience in data analysis, interpretation, and visualization.</li>
<li>Experience with enterprise software or the transportation and logistics industry is a plus.</li>
<li>Advanced proficiency with Microsoft Office Suite.</li>
<li>Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required.</li>
<li>Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI, Looker) required.</li>
<li>Familiarity with big data technologies and platforms such as Delta Lake, Spark, and Databricks required.</li>
<li>Experience with SQL and relational databases is highly preferred.</li>
<li>Knowledge of schema design, data modeling, and data analysis is preferred.</li>
<li>Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.</li>
<li>Preferred certifications in Azure, Power BI, Data Analytics, or Data Engineering include, but are not limited to:
<ul><li>Azure Data Engineer Associate</li>
<li>Microsoft Power BI Data Analyst (PL-300)</li>
<li>Microsoft Azure Fundamentals</li>
<li>DataCamp Data Engineer Certification</li>
<li>DataCamp Data Analyst Certification</li>
<li>DataCamp Data Scientist Certification</li>
<li>Other related cloud, analytics, or data engineering certifications</li>
</ul>
</li></ul>Why McLeod?

At McLeod Software, we believe that our employees are our greatest competitive advantage. Each employee contributes directly to McLeod Software&rsquo;s growth and success. When you join McLeod, you&rsquo;re joining a company that&rsquo;s built for the long haul&mdash;with a clear vision, strong leadership, and a commitment to investing in our people. 
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Analyst, Enterprise Data

ACTIVE8 WIRELESS

Working Days: Monday to Friday (Five days)Shift Timings: 9 PM to 6 AM (Night Shift)Location: Onsite &ndash; RJ Mall, 5th Floor, KarachiWe are seeking a highly skilled and detail-oriented Data Analyst to join our expanding Business Intelligence team. In this role, you will be responsible for transforming raw data into actionable business insights through robust data modeling, advanced analytics, and dynamic visualizations. The ideal candidate possesses deep expertise across the entire Power BI ecosystem, strong SQL development capabilities, and a proven track record of designing reliable ETL workflows. You will collaborate closely with cross-functional business units to understand their data needs, optimize existing data pipelines, and deliver intuitive enterprise dashboards that drive strategic decision-making.Key Responsibilities1. Business Intelligence &amp; Dashboard Development<ul><li>Design, develop, and maintain high-performance enterprise dashboards and interactive reports using Power BI.</li><li>Write complex, optimized DAX (Data Analysis Expressions) queries and measures to fulfill intricate business logic and analytical requirements.</li><li>Utilize M query language within Power Query to execute advanced data ingestion, cleansing, transformation, and structural reshaping.</li><li>Implement and manage end-to-end cloud infrastructure components, including Power BI Services, workspaces, applications, and DataFlows for self-service BI capabilities.</li></ul>2. Data Modeling &amp; Integration<ul><li>Design and implement scalable, efficient, and well-structured Power BI Data Models utilizing industry- standard Star and Snowflake schemas.</li><li>Establish seamless data connectivity and gateway configurations across diverse cloud and on-premise transactional data sources.</li><li>Develop, schedule, and monitor robust ETL (Extract, Transform, Load) workflows to ensure seamless data integration, preferably leveraging SQL Server Integration Services (SSIS).</li></ul>3. Database Development &amp; Query Optimization<ul><li>Write, debug, and optimize complex T-SQL queries, stored procedures, views, and user-defined functions within SQL Server.</li><li>Analyze database query execution plans and index structures to tune performance, minimize latency, and guarantee efficient processing of massive datasets.</li><li>Ensure strict data integrity, consistency, and governance standards across all database environments and downstream analytical layers.</li></ul>4. Ad-Hoc Analysis &amp; Collaboration<ul><li>Conduct rapid, intermediate-level data analysis and structural validations using Microsoft Excel (VLOOKUP/XLOOKUP, Pivot Tables, logical formulas, and data formatting) to support ad-hoc business inquiries.</li><li>Collaborate closely with business analysts, functional stakeholders, and IT infrastructure teams to map requirements into technical data specifications.</li><li>Document data dictionaries, model architectures, metrics definitions, and ETL deployment procedures to maintain an organized corporate data catalog.</li></ul>Required Skills &amp; QualificationsTechnical Competencies:<ul><li>Power BI Mastery: Deep, hands-on experience in Power BI Desktop and Service. Advanced proficiency in writing complex DAX functions, engineering efficient M queries, and architecting robust enterprise Data Models.</li><li>Power BI Admin/Service: Proven experience working with Power BI DataFlows, shared datasets, scheduled refreshes, row-level security (RLS), and workspace administration.</li><li>SQL Server Proficiency: Strong command of SQL Server management. Expert-level capability in writing and optimizing complex queries, troubleshooting performance bottlenecks, and managing schema objects.</li><li>ETL &amp; Data Integration: Practical experience designing, building, and maintaining automated data pipelines. Strong preference for candidates with SSIS (SQL Server Integration Services) expertise.</li><li>Microsoft Excel: Solid intermediate-level skills, including advanced formulas, Pivot Tables, conditional logic, and data structuring capabilities.</li></ul>Preferred / Nice-to-Have Skills:<ul><li>Python Programming: Foundational to intermediate knowledge of Python (specifically libraries such as Pandas, NumPy, or script integrations within ETL/Power BI) to perform automated scripting or advanced statistical data analysis.</li><li>Power BI (DAX &amp; M) Power BI DataFlows Data Modeling SQL Server (T-SQL) SSIS</li><li>Excel (Intermediate) Python (Preferred)</li></ul>Education &amp; Experience Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, Statistics, Finance, or a closely related quantitative discipline.</li><li>Minimum of 06 months of professional experience working strictly in a Data Analyst, BI Developer, or Data Engineer capacity within a data-driven environment.</li><li>Certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300) or equivalent database certifications are highly advantageous.</li></ul>Pay: Up to Rs60,000.00 per monthWork Location: In person

Data Analyst

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