Qliksense Developer

• Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
• At least 1 Data Query language – SQL/Python
• Experience in creating breakthrough visualizations
• Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must

Key Responsibilities:

1. Collaborate with business stakeholders and data analysts to understand reporting requirements and translate them into effective Power BI solutions.
2. Design and develop interactive and visually compelling dashboards, reports, and visualizations using Microsoft Power BI.
3. Ensure data accuracy and consistency in the reports by working closely with data engineers and data architects.
4. Optimize and streamline existing Power BI reports and dashboards for better performance and user experience.
5. Develop and maintain data models and data connections to various data sources, ensuring seamless data integration.
6. Implement security measures and data access controls to protect sensitive information in Power BI reports.
7. Troubleshoot and resolve issues related to Power BI reports, data refresh, and connectivity problems.
8. Stay updated with the latest Power BI features and capabilities, and evaluate their potential use in improving existing solutions.
9. Conduct training sessions and workshops for end-users to promote self-service BI capabilities and enable them to create their own reports.
10. Collaborate with the wider data and analytics team to identify opportunities for using Power BI to enhance business processes and decision-making.

Requirements:

1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. Proven experience as a Power BI Developer or similar role, with a strong portfolio showcasing previous Power BI projects.
3. Proficient in Microsoft Power BI, DAX (Data Analysis Expressions), and M (Power Query) to manipulate and analyze data effectively.
4. Solid understanding of data visualization best practices and design principles to create engaging and intuitive dashboards.
5. Strong SQL skills and experience with data modeling and database design concepts.
6. Knowledge of data warehousing concepts and ETL (Extract, Transform, Load) processes.
7. Ability to work with various data sources, including relational databases, APIs, and cloud-based platforms.
8. Excellent problem-solving skills and a proactive approach to identifying and addressing issues in Power BI reports.
9. Familiarity with data security and governance practices in the context of Power BI development.
10. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams and business stakeholders.
11. Experience with other BI tools (e.g., Tableau, QlikView) is a plus.

The role of a Power BI Developer is critical in enabling data-driven decision-making and empowering business users to gain valuable insights from data. The successful candidate will have a passion for data visualization and analytics, along with the ability to adapt to new technologies and drive continuous improvement in BI solutions. If you are enthusiastic about leveraging the power of data through Power BI, we encourage you to apply and join our dynamic team.

We are looking for a Business Intelligence (BI)/Data Analyst to create and manage Power Bl and analytics solutions that turn data into knowledge.  In this role, you should have a background in data and business analysis. If you are self-directed, passionate about data,

and have business acumen and problem-solving aptitude, we'd like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions.

Requirements and Qualifications

• BSc/BA in Computer Science, Engineering, or relevant field.
• Financial experience and Marketing background is a plus
• Strong Power BI development   skills including Migration of existing deliverables to PowerBl.
• Ability to work autonomously
• Data modelling, Calculations, Conversions, Scheduling Data refreshes in Power-BI.
• Proven experience as a Power BI Developer is a must.
• Industry experience is preferred.  Familiarity with other BI tools (Tableau, QlikView).
• Analytical mind with a problem-solving aptitude.

Responsibilities

• Design, develop and maintain business intelligence solutions
• Craft and execute queries upon request for data
• Present information through reports and visualization based on requirements gathered from stakeholders
• Interact with the team to gain an understanding of the business environment, technical context, and organizational strategic direction
• Design, build and deploy new, and extend existing dashboards and reports that synthesize distributed data sources
• Ensure data accuracy, performance, usability, and functionality requirements of BI platform
• Manage data through MS Excel, Google sheets, and SQL applications, as required and support other analytics platforms
• Develop and execute database queries and conduct analyses
• Develop and update technical documentation requirements
• Communicate   insights   to both   technical   and non-technical audiences.

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Key  Responsibilities :

• Development of proprietary processes and procedures designed to process various data streams around critical databases in the org
• Manage technical resources around data technologies, including relational databases, NO SQL DBs, business intelligence databases, scripting languages, big data tools and technologies, visualization tools.
• Creation of a project plan including timelines and critical milestones to success in support of the project
• Identification of the vital skill sets/staff required to complete the project
• Identification of crucial sources of the data needed to achieve the objective.

Skill Requirement :

• Experience with data pipeline processes and tools
• Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, ETL, ESB)
• Experience with an existing ETL tool e.g Informatica and Ab initio etc
• Deep understanding of big data systems like Hadoop, Spark, YARN, Hive, Ranger, Ambari
• Deep knowledge of Qlik ecosystems like  Qlikview, Qliksense, and Nprinting
• Python, or a similar programming language
• Exposure to data science and machine learning
• Comfort working in a fast-paced environment

Soft attributes :

• Independence: Must have the ability to work on his/her own without constant direction or supervision. He/she must be self-motivated and possess a strong work ethic to strive to put forth extra effort continually
• Creativity: Must be able to generate imaginative, innovative solutions that meet the needs of the organization. You must be a strategic thinker/solution seller and should be able to think of integrated solutions (with field force apps, customer apps, CCT solutions etc.). Hence, it would be best to approach each unique situation/challenge in different ways using the same tools.
• Resilience: Must remain effective in high-pressure situations, using both positive and negative outcomes as an incentive to move forward toward fulfilling commitments to achieving personal and team goals.

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

As a Power BI and QlikView Developer, we expect the candidate to be a key contributor in the implementation of data analytics dashboards – from data preparation to dashboard development, unit testing and deployment. The primary work focus for the candidate is as under: 

• Understanding the database design. 

• Develop efficient SQL queries from simple to complex and test the data output as a part of data preparation activity 

• Development & Unit Testing – Dashboards & Data Visualizations using Power BI 

• Troubleshooting/debugging and rectifying issues 

• Review, feedback and mentoring the team 

• Adherence of standards and best practices as defined by the company at the individual level and as a team 

QUALIFICATIONS AND EXPERIENCE 

• Degree in BE/ BTech with at least 3 to 5 years of overall experience 

• Experience in working on multiple databases like MS SQL (Mandatory), PostgreSQL, Mongo DB, MySQL (would be a plus) etc. and data analytics projects (a minimum of 2 to 3).  

• Experience working on SQL Server: Writing queries of 1 to 2 years is mandatory.  

• Expertise in Power BI and knowledge of QlikView (1-2 years). 

• Understanding other tools like Tableau, Domo etc. would be a great plus 

• Experience in working on different types of visualizations, in addition to the generic ones – Scatter plots, Heat Maps, Geo maps, Gantt, Bubbles, Tree Maps etc. 

• Experience working on Trends, forecasting etc. would be a plus 

• Experience in working with projects teams and ensuring the successful delivery of the solution

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.