Qureos Mentor

LatentView Analytics

<p></p><div><div><p><b>Job Summary</b></p><p>
LatentView Analytics is looking for a Marketing Analytics Consultant to lead our Marketing Measurement Practice. The role demands strong expertise in marketing measurement (MMM, MTA, experimentation, causal modeling, brand analytics) and proven consulting experience. The candidate will front-end client engagements, drive business growth, and scale LatentView&rsquo;s marketing analytics capabilities.</p><p><b>
Roles and Responsibilities</b></p><ul><li>
Lead and expand the Marketing Analytics Consulting practice at LatentView.</li><li>
Drive business development by prospecting, nurturing, and converting new clients.</li><li>
Conduct client workshops and discovery sessions (preferably on-site).</li><li>
Collaborate with leaders, sales, and pre-sales teams to design and promote solutions.</li><li>
Build and maintain strong senior client relationships to drive growth.</li><li>
Create impactful GTM assets such as sales decks, one-pagers, and thought leadership content.</li></ul><p><b>
Required Skills</b></p><ul><li>
8&ndash;12 years of analytics experience with 5+ years in marketing analytics consulting.</li><li>
Strong expertise in MMM, MTA, experimentation, causal modeling, and brand analytics.</li><li>
Proven track record in client engagement, pitching, and discovery workshops.</li><li>
Experience in analytics sales, business development, and consultative solutioning.</li><li>
Excellent communication, presentation, and stakeholder management skills.</li></ul><div></div><p><br>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.</p></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
04-11-2025</div></div><div><div>
Job ID</div><div>
J_4042</div></div><div><div>
Location</div>
Chennai, Tamil Nadu, India ..+ 1</div><div><div>
Experience</div><div>
8 - 12 Years</div></div><div><div>
Employee Type</div><div>
Permanent</div></div></div></div>

Marketing Analytics Consultant

<p></p><div><div><div><b>Role Overview</b></div><div>
As a GenAI Architect, you&rsquo;ll be the driving force behind designing and deploying cutting-edge AI and automation solutions that revolutionize enterprise workflows&mdash;starting with complex domains such as tax, finance, and compliance. You&rsquo;ll collaborate with senior leaders across technology, data, and business to design intelligent systems that enhance efficiency, transparency, and strategic insight.</div><div></div><div><br>
This is your opportunity to shape LatentView&rsquo;s GenAI strategy and lead high-impact initiatives across a rapidly evolving AI landscape.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Define &amp; Lead the GenAI Vision: Set the strategic roadmap for Generative AI adoption across business functions, identifying and executing high-value use cases.</li><li>
Architect Enterprise-Grade Solutions: Design, develop, and deploy scalable AI systems such as intelligent assistants, AI-driven classification engines, anomaly detection models, and automated reporting tools.</li><li>
Collaborate Cross-Functionally: Work with Tax, Product, and Engineering teams to translate business needs into intelligent, automated workflows.</li><li>
Build Advanced AI Pipelines: Lead development of real-time AI-powered analytics, retrieval-augmented generation (RAG) systems, and recommendation engines.</li><li>
Establish Governance &amp; Best Practices: Define standards for responsible AI use, model evaluation, and continuous improvement.</li><li>
Mentor &amp; Lead Teams: Guide analysts, engineers, and data scientists on leveraging LLMs, prompt engineering, and fine-tuning techniques effectively.</li><li>
Measure Business Impact: Quantify efficiency improvements, accuracy gains, and risk reduction driven by GenAI initiatives.</li></ul><div><b>
Skills &amp; Qualifications</b></div><ul><li>
Proven expertise in Advanced Python and SQL for AI solution development.</li><li>
Strong hands-on experience in Generative AI, LLMs, Prompt Engineering, Fine-tuning, RAG Architectures, and Conversational AI.</li><li>
Deep understanding of Cloud Data Platforms &ndash; Snowflake, dbt, Airflow, Databricks.</li><li>
Familiarity with Data Automation, Enterprise APIs, and Data Integration tools (e.g., Alteryx).</li><li>
Excellent analytical thinking, problem-solving ability, and communication skills.</li><li>
Proven track record of architecting and deploying AI/ML solutions at scale in enterprise environments.</li></ul><div><b>
Why Join LatentView?</b></div><ul><li>
Be at the forefront of AI-driven enterprise transformation.</li><li>
Collaborate with global leaders in data science, engineering, and business strategy.</li><li>
Work on cutting-edge GenAI initiatives with real-world impact.</li><li>
Thrive in a learning-first culture that values innovation, ownership, and growth.</li></ul><div></div><div><br>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.</div></div></div><div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
04-11-2025</div></div><div><div>
Job ID</div><div>
J_4203</div></div><div><div>
Location</div>
Chennai, Tamil Nadu, India ..+ 1</div><div><div>
Experience</div><div>
10 - 12 Years</div></div><div><div>
Employee Type</div><div>
Permanent</div></div></div></div>

GENAI Architect

<p></p><div><div><div>About the Client : Adobe</div><div>
Adobe Inc. is an American multinational computer software company that creates products for creative professionals, marketers, and document management.</div><div></div><div><b><br>
Designation:</b> <b>Assistant Manager - Data Engineering</b><br>
<b>Experience: 4 to 8 years</b><br>
<b>Location: Chennai, Tamil Nadu, India (CHN)</b><br>
<b>Job Description:</b></div><div></div><div><br>
Splunk Data Governance &amp; Engineering Specialist (1 L3 1 L2 Offshore)</div><div></div><div><br>
Key Responsibilities</div><div>
Data Source Inventory &amp; Analysis</div><div>
Build and maintain a master inventory of Splunk log sources (owner, ingestion path, volume, use case, retention).</div><div>
Audit ingestion vs. usage; identify redundant/noisy data sources.</div><div>
Flag low-value data for removal, archiving, or downsampling.</div><div>
Governance Framework &amp; Standards</div><div>
Define ownership, classification, and schema standards across all Splunk sources.</div><div>
Enforce consistent retention and lifecycle management policies.</div><div>
Normalize high-value log sources to OCSF/ECS/Splunk CIM standards.</div><div>
Apply tagging and metadata for sensitivity, retention, and business use cases.</div><div>
Ingestion &amp; Transformation Controls</div><div>
Filter noisy/heartbeat events before ingest.</div><div>
Apply field renaming, enrichment, and transformation pipelines.</div><div>
Ensure metadata (owner, system, retention) is automatically attached at ingest.</div><div>
Data Quality &amp; Monitoring</div><div>
Build dashboards for field completeness, timestamp accuracy, and event health.</div><div>
Automate enforcement of retention checks and ingestion anomaly detection.</div><div>
Run periodic governance reviews to ensure sources stay aligned with standards.</div><div>
Operational Impact</div><div>
Improve Splunk query performance and detection accuracy.</div><div>
Reduce storage costs by enforcing governance and pruning unused data.</div><div>
Establish sustainable governance through automation and oversight.</div><div></div><div><b><br>
Responsibilities:</b></div><div></div><div><br>
Required Skills &amp; Experience</div><div></div><div><br>
Splunk Core Expertise</div><div>
Strong hands-on experience with Splunk Enterprise and Splunk Enterprise Security (ES).</div><div>
Proficiency in SPL for advanced queries, performance tuning, and dashboards.</div><div>
Knowledge of indexer/search head clustering, forwarder management, data models, and knowledge objects (macros, lookups, field extractions).</div><div>
Experience with Splunk CIM and mapping log sources to normalized schemas.</div><div>
Familiarity with data models, accelerations, summary indexing, and performance tuning at scale.</div><div></div><div><br>
Data Governance &amp; Security</div><div>
Experience defining log source ownership, classification, and retention frameworks.</div><div>
Strong understanding of RBAC in Splunk (roles, capabilities, scoping by indexes and apps).</div><div>
Ability to create governance policies for onboarding, lifecycle management, and access control.</div><div></div><div><br>
Data Engineering &amp; Automation</div><div>
Experience with data ingestion and parsing in Splunk (forwarders, HEC, API-based inputs).</div><div>
Strong skills in log transformation/enrichment (field parsing, timestamp correction, renaming, metadata tagging).</div><div>
Scripting in Python, Bash, or PowerShell for automation of Splunk admin and governance tasks.</div><div>
Desired Background</div><div>
4&ndash;7 years of Splunk engineering/administration experience, ideally in large-scale enterprise security environments.</div><div>
Prior experience cleaning up data sprawl in SIEM or Splunk environments.</div><div>
Strong analytical and problem-solving mindset; comfortable in fast-paced, dynamic settings.</div><div>
Bonus: Security knowledge (SIEM/UEBA use cases, detection tuning, MITRE ATT&amp;CK alignment).</div><div></div><div><b><br>
Skills:</b></div><div>
4 to 8 years in the Splunk domain</div><div>
Splunk Enterprise and Splunk Enterprise Security, Security knowledge (SIEM/UEBA use cases, detection tuning, MITRE ATT&amp;CK alignment).</div></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
04-11-2025</div></div><div><div>
Job ID</div><div>
J_4321</div></div><div><div>
Location</div>
Chennai, Tamil Nadu, India
</div><div><div>Employee Type</div><div>
Permanent</div></div></div></div>

Assistant Manager - Data Engineering

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and infrastructure that empower data-driven decision-making across the organization. The ideal candidate will have strong expertise in Spark streaming and modern data engineering tools, with a focus on developing reliable, high-performance data systems.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain robust ETL/ELT data pipelines using modern data engineering frameworks.
  </li>
  <li>
   Implement data integration tests and quality checks to ensure data integrity.
  </li>
  <li>
   Optimize data processing and pipeline performance to support real-time and batch workloads.
  </li>
  <li>
   Develop and maintain real-time and near real-time streaming pipelines using Apache Flink and Apache Kafka.
  </li>
  <li>
   Collaborate with platform and source teams to enhance data architecture and reliability.
  </li>
  <li>
   Manage data pipeline releases, including code reviews, approvals, and CI/CD automation.
  </li>
  <li>
   Document data models, metadata, schemas, and development best practices.
  </li>
  <li>
   Work with global cross-functional teams to design and implement scalable data products that meet business needs.
  </li>
  <li>
   Continuously evaluate and adopt new technologies to improve data engineering efficiency and scalability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Require Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education and Experience Bachelor&rsquo;s or higher degree in Computer Science, Software Engineering, or a related field.
  </li>
  <li>
   5+ years of experience in data engineering or software engineering roles.
  </li>
  <li>
   Proven experience in Python &amp; Java
  </li>
  <li>
   Proven experience building and maintaining production-grade data pipelines.
  </li>
  <li>
   Expertise in Spark SQL and hands-on experience with Apache Kafka, Apache Flink, and related streaming technologies.
  </li>
  <li>
   Experience with Hadoop ecosystem tools (SparkSQL, Hive, HDFS, MapReduce, etc.).
   <br/>
   <br/>
  </li>
 </ul>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
</div>


<p></p><div><div><div>Designation: Apprentice<br>
Experience: 0 to 1 years<br>
Location: Chennai, Tamil Nadu (CHN)</div><div>
Job Description:</div><div>
0 to 1 year experienced data scientist supports the data team by assisting in the collection, cleaning, and preprocessing of structured and unstructured data, conducting exploratory data analysis to identify patterns and trends, and developing as well as testing statistical models and machine learning algorithms under the guidance of senior colleagues. This role involves creating visualizations and dashboards to communicate analytical findings, collaborating across departments to understand project goals and data requirements, staying current with data science trends and best practices, and documenting analysis processes for reproducibility.</div><div></div><div><br>
Responsibilities:</div><ul><li>
Perform exploratory data analysis to identify trends, patterns, and outliers that could influence business strategy.</li><li>
Develop and test statistical models and machine learning algorithms under the guidance of senior data scientists.</li><li>
Create visualizations and reports to communicate findings clearly to stakeholders or team members.</li><li>
Support dashboards and reporting tool development for business analytics.</li><li>
Stay updated on new data science trends and best practices and document methodologies for reproducibility.</li></ul><div></div><div><br>
Skills:</div><ul><li>
Data Science ,SQL Python ,Machine Learning and Deep Learning algorithms</li><li>
PySpark ,PowerBI, GenAI</li></ul></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
31-10-2025</div></div><div><div>
Job ID</div><div>
J_4389</div></div><div><div>
Location</div>
Chennai, Tamil Nadu, India
</div><div><div>Employee Type</div><div>
Apprentices</div></div></div></div>

Apprentice

Join LatentView Analytics and explore 5   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

LatentView Analytics

ABOUT_COMPANY

Marketing Analytics Consultant

GENAI Architect

Assistant Manager - Data Engineering

Assistant Manager - Data Engineering

Apprentice