data analytics manager

Alliance Animal Health

<div>Company Description 
Alliance Animal Health is a fast-growing private equity backed, Veterinary Service Organization that operates as a majority owner and business partner to many veterinarian practices across the US. Our goal is to make it easier for our practices at every step by providing world-class business solutions like talent acquisition, marketing, human resources, finance, and operations, so that they can focus their energy on providing incredible care for animals. In fact, our Core Values are (quite literally) written with PETS in mind: Passion, Engagement, Trust and Service.
We want our doctor partners to choose what's best for their practice because they are the experts in medicine, while we customize the support, the co-ownership approach, and business solutions based on their goals. We pride ourselves on maintaining a culture of open communication and collaboration to deliver innovative solutions to advance today&rsquo;s veterinary environment - without disrupting the medical autonomy and what makes each of our hospitals unique. Because at the end of the day, our central support team exists to serve our practices. So, if you&rsquo;re excited about using your talents to make an impact on the health and wellness of pets - we&rsquo;d love to talk with you! 
Job Description 
Position Summary
The Data Analytics Manager &ndash; Marketing is responsible for leading marketing analytics initiatives and delivering insights that drive client acquisition, engagement, and retention. Reporting to the Director of Data Analytics, this role partners closely with Marketing to translate complex data into actionable strategies and scalable reporting solutions.
This position is ideal for a highly analytical and detail-oriented professional who excels at problem-solving and can translate complex data into clear, actionable insights. The ideal candidate is an effective communicator across both technical and non-technical audiences, demonstrates strong time management and the ability to manage multiple priorities, and thrives in a fast-paced, evolving environment with a high level of ownership and accountability. 
Qualifications 
Key Responsibilities
Data Analysis &amp; Reporting<ul><li>
Analyze marketing data using SQL to develop clear, actionable insights</li><li>
Build and maintain Excel models and automated reporting solutions</li><li>
Develop and manage Tableau dashboards to visualize key performance metrics</li><li>
Ensure data accuracy through validation, cleansing, and quality checks</li><li>
Create standardized and ad hoc reports to support business decisions</li><li>
Present insights, reports, and recommendations to leadership</li></ul>
Marketing Analytics &amp; Insights<ul><li>
Partner with Marketing to evaluate performance across channels and campaigns</li><li>
Identify opportunities to improve client acquisition, engagement, and retention</li><li>
Analyze marketing funnels and customer behavior to drive conversion and lifetime value</li><li>
Translate data findings into clear, strategic recommendations</li></ul>
Channel &amp; Performance Analysis<ul><li>
Evaluate email and lifecycle marketing performance to improve targeting and engagement</li><li>
Analyze SEO and website performance data (e.g., GA4, Search Console) to track traffic and user behavior</li><li>
Monitor and optimize paid media performance across platforms to maximize ROI and efficiency</li></ul>
Cross-Functional Collaboration<ul><li>
Work closely with Marketing, Analytics, and other stakeholders to align on reporting and insights</li><li>
Support the development of executive-level presentations and materials</li><li>
Ensure consistency and accuracy across all published reports</li></ul>
Qualifications<ul><li>
3+ years of experience in data analytics, preferably supporting marketing functions</li><li>
Advanced proficiency in SQL and Excel</li><li>
Experience building dashboards in Tableau (or similar BI tools)</li><li>
Experience working with data warehouses such as Amazon Redshift (or similar)</li><li>
Strong understanding of digital marketing analytics (GA4, Google Ads, Meta Ads, etc.)</li><li>
Familiarity with marketing attribution, tracking frameworks (UTMs), and campaign measurement</li><li>
Experience analyzing client acquisition, retention, lifecycle, and paid media performance</li><li>
Experience in a multi-site or multi-location business environment preferred</li></ul> 

Additional Information 
Additional information 
 Work Environment<ul><li>
Remote or hybrid (if NY based)</li><li>
Travel up to ~20% during active conversions and go-lives</li></ul>
Competitive compensation dependent on location and experience, with annual bonus potential. We also offer a robust set of medical, non-medical and retirement benefits that we encourage our employees to take advantage of.
We want nothing more than to fuel your career goals, which is why we&rsquo;ve created exclusive programs like Alliance Educates, Alliance Propel and Alliance Cares - to bring you financial, learning and wellness opportunities designed to enrich your growth. 
WE ARE A DRUG-FREE &amp; EQUAL OPPORTUNITY EMPLOYER.
Company Policy Forbids Discrimination Because of Age, Color, Race, Religion, Sex, Disability, Marital Status, Sexual Orientation or National Origin.</div>

Data Analytics Manager - Marketing

HSBC

<div>Data Analytics Manager (19820)
Some careers grow faster than others.
If you&rsquo;re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC.
The Data Analytics Manager will provide support to the teams across UAE and the MENAT region. Deal with queries on a day-to-day basis that could be outside of direct responsibilities, including those referred by WPB, Commercial, Private Bank and network functions, seeking assistance from the Head of Sales on more complex matters. The successful candidate will be involved with multiple projects that will require outside the box thinking and creativity. 
Duties &amp; Responsibilities:<ul><li>
Provide MIs and reports to enable the effective analysis of the business trends and performance to UAE and MENAT Management team</li><li>
Submission of data to group to populate reports that enable country comparisons thus allowing for identification of areas of development</li><li>
Assist Head Sales Management to manage the business by making MIs available for the running of the business</li><li>
Provide SQ and error rates reports to senior management to improve governance within the business</li><li>
Developing Business activity Tracking/Management System to monitor performances of the sales team to track: Productivity, Targets, Business enablers, Performance parameters, achievements, and rankings</li><li>
Provide holistic analytical reports on Retail Management to Senior Sales Management. In that liaise with business partners in the region to deliver consistent and accurate information &ndash; enable decisions on customer engagement and business planning</li><li>
Manage projects from inception to completion being responsible for overhauling procedures, supervising implementation and completion of plan, related to the design and development needs of the project.</li><li>
Provide commentaries based on reports analysis for Group Reports, requiring full interaction with Sales Managers, Central teams, and Support functions to give a uniform message</li><li>
Ensure compliance with regulations and internal operating guidelines through robust controls and monitoring frameworks</li></ul> 
Experience &amp; Qualifications:<ul><li>
Graduation degree is REQUIRED&ndash; to secure a UAE Visa and Work Permit</li><li>
Strong excel, power bi or similar data analysis experience</li><li>
Understanding of Sales Structures, Incentive Framework</li><li>
Experience in dealing with Sales Managers with quires related to Sales MIs, Incentives and Productivity</li><li>
Strong analytical and presentation skills</li><li>
Excellent planning, organizational and solving skills</li><li>
Strong interpersonal skills, including influencing and relationship building</li><li>
Accuracy &ndash; ability to get it right the first time</li></ul>
For further details and application information please visit our careers site, searching under reference number.
HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working, and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
Issued by The Hong Kong and Shanghai Banking Corporation Limited</div>

Data Analytics Manager (UAE National)

State of Wisconsin Investment Board

<div>Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB&rsquo;s investment professionals are Chartered Financial Analyst (CFA) charterholders.
 
 
The City of Madison, the state capitol and home of Wisconsin&rsquo;s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits. 
 
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
 
The Data Delivery and Operations Division partners across Investment Management, Operations, Risk, and Technology to deliver trusted, timely, and analytics-ready data that powers investment decisions. 
 
The Data Analytics Engineering team serves as SWIB&rsquo;s enterprise owner of investment and reference data within the analytics environment. The team transforms raw data into governed, analytics-ready assets that support reporting, performance measurement, risk analysis, accounting, and downstream investment platforms. 
 
Position Overview
 
The Manager, Data Analytics Engineering provides overall leadership and accountability for SWIB&rsquo;s investment data and analytics engineering function. 
 
This role owns the integrity, availability, and quality of SWIB&rsquo;s investment data assets, including reference data, security master, and entity master domains. The Manager is accountable for data quality SLAs, daily data validation, and the reliability of analytics-layer data supporting investment, trading, risk, and portfolio management activities. 
 
The Manager plays a critical role in overseeing the start-of-day data process to ensure investment teams have accurate and complete data to support daily trading and portfolio management decisions. This includes leading a 24x6 operational support model for data processing, validation, issue triage, and resolution. 
 
This position also provides strategic oversight of key vendor relationships supporting investment and reference data, including SimCorp. The Manager ensures vendor performance aligns with SLAs, data quality expectations, and enterprise investment requirements. 
 
The successful candidate combines strong investment data expertise, operational leadership capability, and proven people management experience. This role routinely applies significant judgment to moderate-to-complex business and data challenges and plays a central role in SWIB&rsquo;s enterprise data governance and operational readiness. 
 
Essential Activities 
 
<div>Investment Data Ownership &amp; Master Data Management
 
<ul><li>Serve as enterprise owner of analytics-layer investment data, including reference data, security master, entity master, holdings, and related datasets.
</li><li>Lead SWIB&rsquo;s single source of truth strategy for security master and related master data domains.
</li></ul></div><ul><li>Establish governance standards, stewardship models, and documentation practices for master data assets.
</li><li>Rationalize redundant or conflicting data sources to improve consistency across the organization.
</li><li>Ensure alignment between master data architecture and investment, performance, risk, and accounting requirements. 
</li></ul><div>Business Translation &amp; Analytics Engineering
 
<ul><li>Partner closely with Investment Management, Operations, Risk, and ETL Engineering to translate business requirements into scalable analytics-ready data models.
</li><li>Partner with ETL Engineering and Technology to ensure analytics transformation processes align with enterprise architecture and operational standards.
</li><li>Provide architectural oversight for the analytics transformation layer to ensure data models, validation processes, and documentation practices meet enterprise standards. 
</li></ul></div><div>Data Quality &amp; Governance
 
<ul><li>Design and implement enterprise data quality frameworks within the analytics layer.
</li><li>Own and report on data quality SLAs, including timeliness, completeness, and accuracy metrics.
</li><li>Develop and publish recurring SLA and data quality reporting for leadership and stakeholders.
</li><li>Ensure data validation controls are embedded in daily processing workflows.
</li><li>Collaborate with upstream data providers and ETL Engineering to remediate systemic data issues.
</li><li>Embed governance controls into analytics datasets to improve auditability and
</li></ul>transparency. 
 
</div><div>Vendor &amp; Platform Relationship Management
 
<ul><li>Maintain strategic oversight of major vendor partners providing investment and reference data, including SimCorp.
</li><li>Ensure vendor deliverables meet contractual SLAs and enterprise data quality
</li></ul>expectations.
 
<ul><li>Lead regular governance meetings and performance reviews with SimCorp and other key vendors.
</li><li>Partner with Technology and Investment Operations to address vendor-related data or platform issues. 
</li></ul></div><div>Downstream Platform Support &amp; Operational Readiness
 
<ul><li>Own the start-of-day data readiness process in support of daily trading and portfolio management activities.
</li><li>Lead a 24x6 operational support model for data processing, validation, issue escalation, and resolution.
</li></ul></div><ul><li>Establish clear escalation procedures and incident response protocols for data-related production issues.
</li><li>Ensure analytics-layer datasets support reliable exports to downstream systems, including Order Management Systems (OMS), risk analytics platforms, and other investment technologies.
</li><li>Partner with Technology and ETL Engineering to maintain stable, governed export processes. 
</li></ul><div>Cloud &amp; Modernization Strategy
 
<ul><li>Co-design SWIB&rsquo;s future-state cloud data architecture in partnership with ETL
</li></ul>Engineering and Technology.
 
<ul><li>Define clear architectural swim lanes between ingestion/orchestration (ETL
</li></ul>Engineering) and transformation/governance (Analytics Engineering).
 
<ul><li>Collaborate with ETL Engineering and Technology to support controlled deployment
</li></ul>processes and production governance standards.
 
<ul><li>Advance automation, reliability, and engineering discipline across analytics workflows. 
</li></ul></div><div> 
Staff Leadership &amp; Development
 
<ul><li>Lead, mentor, and develop a team of analytics engineering professionals.
</li><li>Conduct annual performance reviews and provide ongoing coaching.
</li><li>Elevate technical standards across the team in investment data modeling and
</li></ul>governance practices.
 
<ul><li>Align hiring profiles with evolving operational and enterprise data needs.
</li><li>Foster a culture of accountability, documentation, peer review, and continuous
</li></ul>improvement. 
 
</div><div>Qualifications Include
 
<ul><li>Bachelor&rsquo;s degree in Data Analytics, Engineering, Information Systems, or related field; advanced degree or certifications preferred.
</li><li>8&ndash;12+ years of progressive experience in analytics engineering, data architecture, or investment data management.
</li><li>Advanced SQL expertise and strong dimensional modeling experience.
</li><li>Experience working with cloud-based data platforms (Azure, Snowflake, or comparable platforms).
</li><li>Experience with master data management concepts and enterprise data governance.
</li><li>Strong understanding of investment industry data, including security master, holdings, benchmarks, performance, and risk.
</li><li>Demonstrated experience managing and developing technical staff.
</li><li>Familiarity with modern production governance and controlled deployment practices preferred. 
</li></ul></div><div>SWIB Offers:
</div><div></div><ul><li>Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
</li><li>Comprehensive benefits package
</li><li>Educational and training opportunities
</li><li>Tuition reimbursement
</li><li>Challenging work in a professional environment
</li><li>Hybrid work environment
</li></ul><div></div><div>The position requires U.S. work authorization.
</div><div></div><div>Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
</div><div></div><div>All SWIB employees are subject to SWIB&rsquo;s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB&rsquo;s talent acquisition team and any questions can be answered by SWIB&rsquo;s compliance team.</div></div>

Data Analytics Engineer Manager

Abdul Latif Jameel

<div>
 
 
 Who we are?
 
 
 
 
 
 
 Abdul Latif Jameel is a diversified business of independent entities that include automotive distribution, auto parts manufacturing, financial services, renewable energy, environmental services, health, land and real estate development, logistics, electronics retailing and media services.
 
 
 Established in 1945 Abdul Latif Jameel has dual headquarters in Jeddah, Saudi Arabia and Dubai, and currently has operations in 30 countries employing approximately 11,000 people from more than 40nationalities.
 
 
 The term Abdul Latif Jameel refers broadly to several distinct, separate and independent legal entities. It is not itself a corporate entity, association or conglomerate run by an overarching parent company but merely refers to a group of distinct and wholly separate legal entities that are collectively referred to as Abdul Latif Jameel.
 
 
 
 
 
 
 Main Job Responsibilities:
 
 
 
 Manage the collection and analysis of CRM data to support business decision-making.
 
 
 Identify trends and insights in customer data to inform marketing and sales strategies.
 
 
 Manage data integration projects to ensure consistency and accessibility of information across departments.
 
 
 Develop and enforce data quality standards to ensure accuracy and reliability of CRM data.
 
 
 Train team members on data analysis tools and techniques to enhance their analytical capabilities.
 
 
 Collaborate with IT department to maintain and upgrade CRM and analytics platforms.
 
 
 Report on data analytics findings and recommend actions to improve CRM effectiveness.
 
 
 
 
 
 
 Main Job Qualifications:
 
 
 <ol>
 <li>
 Bachelor&rsquo;s degree in Business, Analytics, or a related field. A Master&rsquo;s degree or advanced certification in analytics or data science is highly preferred
 </li>
 <li>
 Minimum of 5 years of experience in CRM, analytics, or a related field. Experience in the automotive industry is a significant advantage.
 </li>
 <li>
 Excellent communication skills, with the ability to articulate complex concepts to a non-technical audience.
 </li>
 <li>
 Knowledge of the Saudi Arabian market and consumer behavior is preferred.
 </li>
 <li>
 Proficiency in analytics and CRM software (e.g., Salesforce, Microsoft Dynamics), as well as data visualization tools (e.g., Tableau, Power BI)
 </li>
 </ol>
 
 
 
 
 
 The associate will work with a daily standard of (48) hours per week.
 
 
 
 
 The job posting will expire in 7 days - Apply while the opportunity lasts!
 
 
</div>

Data & Performance Analytics Manager

NTT DATA

<div>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. 
 
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. 
 
NTT DATA's Client is seeking a Manager Clinical Data Analytics to manage primary data and analytics support for assigned business unit, working closely with national and local leadership to drive clinical analytics relative to risk adjustment (Medicare HCC, Medicaid CDPS-Rx), Quality (HEDIS/STARS), risk stratification and population health initiatives. Provides subject matter expertise on statistical techniques, data mining, visualization and analysis, and is accountable for ensuring that analytics are timely, accurate and optimally prioritized to best meet business needs. Additional duties include providing necessary guidance and mentoring to teams and preparing executive summaries for national and local leadership. Will display persuasive data visualization and effective oral and written communication skills that can translate complex analytic findings and concepts to a varied audience of users. 
 
Daily Responsibilities Oversees analytical support for local health plan or business unit. Uses subject matter expertise and data / analytics to support strategic decision making. 
<ul><li>Provides subject matter expertise for one or more of the following: Risk Adjustment for CMS HCC Medicare Advantage and/or Medicaid (CDPS Rx, Milliman, Mercer), Quality (HEDIS / STARS) measure performance, Population Health including population segmentation, risk stratification models, disease management and case management performance tracking and analytics.</li><li>Partners with clinical leaders at the national and local plan level to drive trending and operational analytics of program impact; ensures leaders have a clear and timely view of performance and emerging risks in their population.</li><li>Responsible for identifying improvement opportunities for clinical initiatives through reporting and analytics; operates as a thought leader.</li><li>Drives changes and enhancements to analytic capabilities, continuously improves actionable intelligence derived from data and strives to provide elastic and scalable efficiencies on team analytic products.</li><li>Maintains ownership of clinical initiative operational metrics, outcome metrics, intervention efficacy analyses and is comfortable managing teams of business analysts and data scientists, harnessing their expertise to produce dashboards and automated solutions to enable health plans and business units to manage their population rapidly and effectively.</li><li>Provides oversight and direction to employees; delegates effectively to meet overall team goals and foster individual employee development. Creates a spirit of teamwork and collaboration both within the team and across matrix business units.</li><li>Provides coaching, mentoring and development opportunities to staff as well as effective performance feedback. Utilizes SQL, AWS, Hadoop, Tableau, Qlik and other BI and data tools to define, extract, validate, shape and interpret data to meet business needs. Accountable for the accuracy of work product for the team.</li><li>Coordinates efforts with Informatics, Information Technology and other teams to promote data &quot;best practices &quot; across sites, and problem solves data acquisition, design and quality issues.</li></ul> 

Required Skills Undergraduate degree ideally in a quantitative field such as Mathematics, Computer Science or related degree. 
<ul><li>7+ years of direct, relevant experience.</li><li>3+ years of management experience or equivalent demonstrated leadership skills.</li><li>Experienced in an analytics environment or field (epidemiology, biostatistics, economics, healthcare, other).</li><li>Excellent verbal and written communication skills.</li><li>Ability to develop and lead staff in a team-oriented environment.</li><li>Ability to forge effective business relationships across functional groups and levels.</li><li>Experience working as a liaison between technical and non-technical groups.</li><li>Strong analytical and problem solving skills; ability to drive results and deliver on multiple tasks.</li><li>MS Suite power user; Expert level knowledge of SQL, Qlikview, Tableau or similar business intelligence tools.</li></ul> 
About NTT DATA Services: 
 
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. 
 
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. 
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00 - $70.00/hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. 
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</div>

Manager Clinical Data Analytics

<div>The Business Analytics Manager role has a national salary range of $85,000- $150,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, General Bonus Plan and a generous PTO policy. 
Are you ready to lead the future of data-driven decision-making in the dynamic world of supply chain? At DHL Supply Chain, were looking for a Business Analytics Manager who can elevate our analytics capabilities, mentor a growing team of analysts, and drive strategic insights across operations. If you're passionate about data, leadership, and making an impact, this is your opportunity to shape the analytics landscape at scale. 
Job Description
As a Business Analytics Manager, you will oversee all aspects of business analytics across multiple sites, ensuring high-quality insights and consistent analytical practices. Youll lead a team of site-level analysts, support operational leaders with strategic reporting, and champion the adoption of modern analytics tools. This role is ideal for someone who thrives in a fast-paced environment, enjoys mentoring others, and is ready to take ownership of analytics strategy and execution.
Responsibilities<ul><li>
Lead and manage a team of site-level analysts, including recruiting, training, and professional development</li><li>
Set the vision and standards for analytics practices across the region or sector</li><li>
Validate and improve analytical processes to ensure consistency, accuracy, and business value</li><li>
Collaborate with site leadership to identify opportunities for performance improvement through data</li><li>
Oversee the development and deployment of Power BI dashboards and reporting tools</li><li>
Guide the design and implementation of data pipelines (ETL) from diverse sources</li><li>
Promote data literacy and tool adoption through knowledge-sharing and training sessions</li><li>
Act as a strategic partner for cross-functional teams (Operations, HR, Finance, etc.) to deliver customized analytical solutions</li><li>
Stay current with analytics trends and apply best practices to enhance reporting and automation</li><li>
Support site startups by implementing analytics frameworks and tools</li><li>
Serve as a key point of contact for analytics community initiatives and Power BI governance</li></ul> 
Required Experience<ul><li>
Bachelors degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required</li><li>
3+ years of experience in data analytics, business intelligence, or a related field, required</li><li>
Proven experience leading analytics teams or managing cross-functional analytics projects, required</li><li>
Advanced proficiency in Power BI, including dashboard creation and DAX expressions, required</li><li>
Strong SQL skills and experience with scripting languages such as Python or R, required</li><li>
Experience designing and managing data pipelines and working with structured and unstructured data sources, required</li><li>
Deep understanding of statistical concepts, data modeling, and modern analytics methodologies, required</li><li>
Excellent communication and leadership skills, with the ability to influence stakeholders and drive adoption of analytics tools, required</li><li>
Ability to work fully onsite if role is based out of a warehouse, required</li></ul> 
Our Organization is an equal opportunity employer. 
 
Brand: DHL
 
Address: 3815 N Cotton Ln Goodyear, AZ - 85395
 
Property Description: 5425 - Goodyear AZ WERC
 
Property Number: 5425</div>

Business Analytics Manager

WADIC

<div>
 
 Job Title:
 
 Senior Data Scientist &ndash; ELK Stack &amp; Analytics
 
 
 
 Location:
 
 College Road, Lahore
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Working Hours:
 
 9:00 PM &ndash; 6:00 AM PKT
 
 
 
 Department:
 
 Data &amp; Analytics
 
 
 
 Reports To:
 
 Data Analytics Manager
 
 Job Overview:
 
 We are seeking a
 
 Senior Data Scientist
 
 with deep expertise in the
 
 ELK Stack (Elasticsearch, Logstash, Kibana)
 
 ,
 
 MySQL query optimization
 
 , and
 
 big data analysis
 
 . This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You&rsquo;ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.
 </li>
 <li>
 Design and manage robust data pipelines using Logstash and other ETL tools to feed into Elasticsearch.
 </li>
 <li>
 Build and maintain Kibana dashboards for real-time visualization and analytics.
 </li>
 <li>
 Analyze large-scale datasets to identify trends, anomalies, and actionable insights.
 </li>
 <li>
 Write and optimize complex MySQL queries to support deep-dive analysis and reporting needs.
 </li>
 <li>
 Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.
 </li>
 <li>
 Support development of machine learning models or predictive analytics where applicable.
 </li>
 <li>
 Document processes, pipelines, and findings for knowledge sharing and reproducibility.
 </li>
 <li>
 Mentor junior team members and contribute to data governance and quality initiatives.
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related discipline.
 </li>
 <li>
 Minimum 4 years of experience in data science, analytics, or a similar technical role.
 </li>
 <li>
 Proven experience working with the ELK Stack (Elasticsearch, Logstash, Kibana) in a production environment.
 </li>
 <li>
 Advanced proficiency in SQL, especially with MySQL optimization for large and complex queries.
 </li>
 <li>
 Experience in Python or R for data analysis and scripting.
 </li>
 <li>
 Strong foundation in data modeling, ETL pipelines, and data warehousing.
 </li>
 <li>
 Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.
 
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Experience with big data technologies (e.g., Apache Spark, Hadoop).
 </li>
 <li>
 Familiarity with cloud platforms like AWS, especially their data and log services is preferred
 </li>
 <li>
 Knowledge of machine learning, predictive modeling
 </li>
 <li>
 Domain experience in finance, healthcare, e-commerce, or SaaS environments is preferred but not required
 
 
 
 </li>
 </ul>
 
 Ready to lead cutting-edge analytics and log intelligence?
 
 Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.
</div>

Data Analyst/ Data Scientist

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