Firstly, a bit about us
Perceptive Analytics - A emerging Analytics solutions company is selected by Stanford University to be part of Stanford Seed Program. We offer specialized services in Data Analytics( Marketing, Finance, Operations) , Business Intelligence and Data Visualization. Perceptive Analytics is the Winner, Fidelity Investments Data Challenge, and is an awardee at NETFLIX Hackathon held at Tableau Conference, US. Our clients includes
medium to large sized companies in the USA.
At Perceptive Analytics, we are dedicated to attracting exceptional talent with remarkable capabilities and providing them with empowering responsibilities and abundant opportunities for career growth. We strongly believe in the transformative impact of continuous learning, both within and beyond the workplace. Our daily Kalam Knowledge Sharing Session (KKSS) is designed to equip our team with cutting-edge technologies,
essential skills, and valuable insights, fostering comprehensive development.
What youâll be doing
As a Consultant at Perceptive Analytics, you will play a crucial role in guiding different project teams within the company. You will collaborate with clients from diverse industries and be responsible for providing strategic insights, analytical guidance, and domain knowledge to ensure that the adequate consultant value is added to the projects. Additionally, you will be instrumental in developing long-term relationships with clients and helping them make data-driven decisions to achieve their business objectives.
A day in your life might include...
⢠Lead and guide multiple project teams to achieve successful project outcomes by gaining a comprehensive understanding of the client's business, industry, and specific needs to provide valuable insights and effective solutions.
⢠Assist project teams in creating interactive and informative dashboards that effectively visualize and communicate data-driven insights to clients.
⢠Provide actionable instructions to project teams regularly on the analysis required to derive meaningful insights from data.
⢠Identify key problems and challenges faced by clients proactively and provide analytical guidance to foster long term relationship.
⢠Inculcate domain knowledge in project teams, enabling them to make informed decisions and deliver data-driven solutions.
⢠Think from a business perspective and align data analysis with strategic business objectives to drive growth and profitability.
Our Requirements
⢠8+ years of experience in data analytics or a related field. However, we are open to considering candidates with relevant experience who align with our company's values and objectives.
⢠Strong knowledge of various industries, including their market dynamics, challenges, and opportunities.
⢠Proven leadership and managerial skills, capable of motivating and guiding project teams to excel in their roles.
⢠Excellent communication and interpersonal skills to effectively interact with clients and project teams.
⢠Proficiency in data analysis tools and technologies to drive data-driven decision-making.
Location
The company is based out of Hyderabad. All new joiners will have the option to work from office. In addition, if they want to work from home that option is also available. In case, specific requirement, employees may be mandated to work from the office temporarily.
Compensation
We understand that every candidate's background is unique, and we strive to evaluate each case individually. The experience and achievements will be carefully considered during the compensation discussion that we may have further. We are committed to offering a competitive compensation package that reflects the value and expertise you bring to the role.
Sound exciting? Get in touch today!
Please write a good cover letter as we give high importance to the same. We recommend you spend enough time and effort in writing a good cover letter.
Please create your Cover Letter around the following points
⢠Major achievements
⢠Instances where you showcased exceptional leadership abilities
⢠Previous experience working with data analysis tools and technologies
Letters of Recommendation or other recognition
We prioritize candidates with letters of recommendation from your internship or prior managers.
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